Karmine Consulting

Tag: focus and concentration

  • Less Noise, More Focus: How FinCEN is quietly rewiring the AML narrative

    Less Noise, More Focus: How FinCEN is quietly rewiring the AML narrative

    Introduction

    Recently, FinCEN released two developments that deserve close attention: the October 2025 SAR FAQs and a proposed Cost of Compliance Survey for NBFIs. Read together, these signals point to a shift away from measuring AML effectiveness through volume and accelerating toward evaluating quality and intelligence value of what is submitted.

    This is a significant reframing. The intent is not to reduce vigilance, but to challenge the long-standing assumption that more SARs automatically reflects stronger control and more spend implies deeper compliance entrenchment.

    The question is whether this shift will give institutions enough regulatory confidence to reduce defensive filing and instead base filing decisions on contextual suspicion and risk evidence.

    What the SAR FAQs clarify

    FinCEN is drawing a subtle boundary between suspicious behaviour and alert thresholds. The FAQ clarifies that –

    • Transactions near the US $10,000 currency threshold do not, by themselves, automatically require a SAR. A reason to suspect or suspicion remains the key trigger.
    • A separate account review is not obligatory post-SAR, unless the institution’s risk analysis supports it.
    • Institutions are not mandated to document every decision not to file a SAR, beyond alignment with risk-based internal controls.

    This is a direct encouragement to reduce mechanical alerting / reporting without weakening coverage integrity and move towards intelligence driven filings.

    The Proposed Compliance Cost Survey

    FinCEN has proposed a Cost of Compliance Survey and is seeking comments before implementation. This survey indicates their intent to build evidence before recalibrating the compliance burden. The survey targets casinos, money services businesses (MSBs), dealers in precious metals and stones, credit card operators and loan and finance companies because these segments carry high regulatory overhead but often may not produce proportional intelligence value.

    Structural changes cannot be justified based on industry sentiment or fatigue but require proof that the current architecture is not positioned to generate intelligence.

    This survey is aiming to distinguish where compliance effort translates into useful insight for enforcement versus where it simply creates operational volume.

    • Which activities generate genuine investigative value?
    • Which activities have high workload with low-intelligence outcomes?

    Shift in Regulatory Posture

    Read together with the SAR FAQs, this indicates a meaningful shift in supervisory posture.

    • From quantity to quality: Active dissuasion of reflexive filings triggered solely by thresholds or as simply a defensive practice. The directive seeks to question whether the cost of monitoring & filing is justified by results. Reduction in SAR output will only work if the coverage is not compromised.
    • From burden to calibration: The Survey acknowledges that AML/CFT compliance imposes real costs and that regulatory design should reflect proportionality.
    • From checklist to intelligence: The emphasis is shifting toward genuine risk-based programs driven by intelligent monitoring and meaningful results rather than sheer volume. This means that firms will have to implement stronger and comprehensive controls to defend their non-filing decisions.

    Some parts of the AML stack may be over engineered relative to the intelligence they produce. If the survey results confirm this, FinCEN will have the evidence to rebalance the compliance burden without being accused of weakening their stance against money laundering and terrorism financing.

    Our view: Where does this direction lead?

    If regulators start framing effectiveness in terms of signal value rather than output, firms will be expected to justify why their control design looks the way it does. Supervisors will not only look at how many alerts or SARs are generated, but whether the architecture that created them is proportionate, risk anchored and defensible.

    That requires some structural shifts:

    Customer 360 needs to become real infrastructure instead of a conceptual diagram on the slide. Entity resolution, unified data lakes, consistent identifiers and relationship mapping have to be real engines that support detection, not just a reference point. Until analysts see behavioural patterns, network context and historical context in one place, coverage will remain shallow and decisions will continue to default to defensive filing.

    Federated learning needs to progress to ecosystem scale. This does not require firms to pool raw data. It requires a pattern / signal exchange layer that allows multiple institutions to strengthen typology understanding and accelerate detection maturity without breaching privacy.

    It also forces a shift internally. Most institutions still do not have effective horizontal signal sharing across their own product, fraud, AML, cyber security and customer teams. If internal departments cannot share context consistently, external signal exchange will not produce an uplift.

    Given the pace of typology evolution, federated learning models will become necessary if institutions want sustainable accuracy.

    Feedback driven SAR programs are the need of the hour for effective recalibration. Today SARs exit the institution with no structured utilisation signal being returned. Without feedback, firms cannot measure the quality of their output and in such scenarios, quantity becomes the comfort metric. Even basic outcome metadata would allow firms to tune thresholds, recalibrate models and prioritise investigations based on what actually matters.

    The FCA and UK-FIU have demonstrated that structured feedback can be distributed in sanitised formats through information sharing, thematic insights and standardised communication without revealing sensitive investigation detail. A similar FinCEN version of that would significantly increase the value of industry effort.

    Model driven Analytics and AI need to move beyond threshold tuning and rule stacking. With recent developments, there is increased expectation for models to be explainable, grounded in evidence and aligned to measurable signal improvement rather than generic accuracy.

    Analyst skill sets will also need to shift toward structured reasoning, feature literacy and narrative building based on pattern logic. These changes focus on improving control quality so that effort is applied where it produces intelligent signals rather than volume.

    Conclusion

    The real value shift is not reviewing / filing less. It is moving analyst time from first level alert dispositioning into investigation work that actually produces intelligence. Better data, privacy safe collaborative learning and feedback loops are the practical enablers.

    Lower noise will demand stronger defence of non-filing decisions because scrutiny will shift to the quality of rationale rather than the comfort of large numbers. Institutions that rebuild their data foundations, participate in privacy-safe shared learning and advocate for structured feedback loops will be aligned with this new supervisory trajectory.

    Institutions that cling to volume as the primary indicator of performance risk remaining trapped inside alert noise.

  • The ESG Mirage: Why Integration Falters & What True Governance Demands

    The ESG Mirage: Why Integration Falters & What True Governance Demands

    Background

    ESG has officially entered the mid-market boardroom. Sustainability sections now feature prominently in annual reports. Mid-sized companies display framework badges with pride such as GRI, TCFD, and SASB, and fill pages with metrics, values, and diagrams tracing their impact across the value chain.

    What many mid-sized firms have built however, is ESG optics, not ESG integration. ESG continues to largely operate as a standalone disclosure compliance driven function, decoupled from Enterprise Risk Management (ERM), and operational decision making.

    The cost of this structural disconnect is rising. Investors are demanding alignment between ESG strategy and business outcomes. Operational incidents are increasingly linked to blind spots that ESG frameworks were supposed to surface but didn’t.

    This article examines the widening gap between ESG reporting and ESG risk integration in mid-sized firms. When it refers to ESG risks, it points to a broad but tangible spectrum of exposures. These include climate transition shocks, biodiversity loss, labour rights violations, greenwashing, data breaches, supply chain vulnerabilities, and governance failures. These are not theoretical risks. They show up as project delays, litigation, regulatory penalties, capital constraints, and reputational damage. For mid-sized firms, exposure is growing, but the ability to anticipate, measure, and mitigate ESG risks often falls short. This article explores that disconnect and lays out a blueprint for embedding ESG into the core of ERM, where it belongs.

    Where Integration Breaks: Key Vulnerabilities

    a. Scattered Ownership, Hollow Oversight

    • This diffusion is often a legacy of how ESG has evolved in resource constrained settings. Without dedicated teams, ESG has tended to land where bandwidth exists at a point in time, not where strategic alignment lies.
    • Ask who is accountable, and the answers are often unclear  or contradictory. CSR may manage community initiatives, risk taking on climate, legal handling disclosures, and HR overseeing diversity. Responsibilities are thus scatteredwith little coordination between units.
    • When issues emerge, responses are disjointed. A vendor may face human rights violations or a site may breach environmental norms, but coordination falters. In such moments, governance gaps surface.
    • The result is symbolic oversight where updates are shared, dashboards reviewed, but material risks go unchallenged. What looks like oversight proves to be a reporting theatre. ESG exists, but it does not lead.

    b. Disconnection from Enterprise Risk Management (ERM)

    • Scan a typical risk register of a mid-sized company and you will likely find familiar entries: operational, credit, cyber,  reputational or regulatory risks. But sustainability exposures such as water scarcity, human rights violations, or climate transition risk areoften missing. This omission reflects a deeper structural misalignment. ESG risks are not just underreported, they are mismanaged.A major Indian outsourcing firm was recently embroiled in controversy after labour and data protection lapses surfaced. Global clients were drawn into the cross-border implications, revealing how ESG vulnerabilities within third-party ecosystems can escalate into legal, operational, and reputational crises when not integrated into enterprise risk frameworks.
    • ESG and risk teams usually operate on separate tracks, guided by different templates, language, and reporting cycles. There is limited dialogue, shared metrics, and few common touchpoints in governance. The consequences are tangible. Risks that are not integrated do not get assessed, tracked, or mitigated.
    • Decisions on capital deployment, supplier onboarding, or market entry move forward without proper accounting of ESG exposure. And when ESG risks crystallize, whether through forced labour allegations or carbon price shocks, they hit as surprises, not scenarios planned for. The fallout is reputational, financial, and at times regulatory.

    c. Short-Term Fixes, Long-Term Blind Spots

    • ESG risk management in many mid-sized firms still remains reactive. Environmental near misses, whistleblower alerts, or supplier violations are resolved in isolation. They are treated as incidents to close, not signals of operational risk.
    • These events rarely trigger cross-functional reviews or governance reform. They are often viewed through conventional lenses like outsourcing, reputational, or compliance risk, rather than as ESG issues warranting systemic attention.
    • Most incident platforms are not equipped to tag and escalate ESG-related risks across risk taxonomies or internal audit programs. As a result, these incidents are captured but not translated into lasting controls or reforms. ESG concerns remain excluded from the formal risk universe, leaving gaps in ownership, escalation, and consequence management.
    • The problem is not that patterns go unnoticed. It is that they are seen, logged, and filed away without institutional learning. With no feedback loop between ESG events and core GRC systems, the organisation remains in a state of incident-by-incident reaction. The absence of structural course correction keeps ESG risk in the background, never part of the firm’s control spine.

    d. ESG as Policy, not Practice

    • Many mid-sized firms have made substaintial progress in formalising ESG commitments, issuing environmental policies, supplier codes of conduct, and diversity statements. On paper, the structure appears sound but in practice, ESG often remains disconnected from core governance and risk processes.
    • In GRC terms, ESG policies are frequently documented but not operationalised. They may not inform procurement thresholds, risk assessments, or investment decisions. First and second-line functions often lack clarity on ownership, escalation, or how ESG ties into day-to-day decision-making. Without mapped controls, training protocols, and integration into assurance cycles, these policies function more as signals of intent than tools of control.
    • Compouding the complexity is proliferation of various frameworks leading to disclosure misalignment. Many organizations struggle to reconcile overlapping or divergent expectations, resulting in fragmented reporting and diluted strategic focus.
    • This gap is not always a result of indifference. Competing compliance pressures and resource constraints can slow down implementation. Without intentional follow-through, even the most well-designed policies fall short of delivering meaningful risk mitigation. ESG maturity must be measured not by the presence of documents, but by the presence of systems that activate them when it matters.

    e. When ESG Goals and Rewards Don’t Align

    • In many mid-sized firms, ESG targets exist on paper but lack execution in practice. Sustainability teams may be commended for reporting achievements, yet the broader organization remains focused on financial KPIs that often conflict with ESG goals. Cost pressures get passed down the value chain leading to corner-cutting, while accelerated timelines increase the likelihood of environmental or safety incidents.
    • A key barrier is the weak integration of ESG into performance architecture. Where ESG metrics appear in bonus scorecards, they are often peripheral, vaguely defined, or outweighed by short-term financial goals. This imbalance is particularly visible at senior levels, where ESG objectives are seldom treated with the same urgency as revenue or margin targets.
    • The result is a misalignment between declared priorities and actual behaviour. Employees learn to focus on what is measured and rewarded. When ESG is not embedded in those levers, it struggles to influence decisions in a meaningful way, not because intent is lacking, but because the system is not built to support it.

    f. Over-indexing on Reporting Tools, Underinvesting in Control Maturity

    • Across the mid-market, ESG dashboards and disclosure software are on the rise. Companies invest in sleek platforms that automate surveys, generate visual reports, and populate sustainability portals with curated metrics. Even though ESG data may feed disclosure reports, but it often bypasses the systems that govern enterprise control like incident management, RCSA, and third-party audits. The result is a disconnect where core risk systems remain unchanged, limiting the shift from insight to action.
    • Compounding this issue is the poor quality of ESG data generated by many reporting systems. Inconsistent methodologies, unverifiable metrics, and outdated sources often result in low-confidence inputs. When such flawed data becomes the basis for business decisions, it not only undermines credibility but exposes firms to material risk misjudgments.
    • A large European asset manager came under investigation in 2022 after national regulators launched a raid based on allegations of greenwashing. Although its ESG disclosures were extensive, internal records and control reviews indicated that several funds were marketed as ESG aligned without sufficient substantiation. The optics of compliance had obscured the absence of effective governance. The result was regulatory backlash, investor exits, and significant reputational damage.
    • The more firms over index on optics without reinforcing the control layer beneath, the more exposed they become to ESG failures, reputational damage, and regulatory sanctions that reporting alone cannot defend against.
    • Bridging the ESG gap requires more than software fixes or better disclosures. It calls for a reset in how companies assign ownership, integrate ESG into risk frameworks, and translate accountability into daily decisions. The blueprint that follows outlines practical steps mid-sized firms can take to move ESG from narrative to control reality, one that holds up under scrutiny and improves performance from the inside out.

    Embedding ESG within ERM Framework – A blueprint

    a. Governance & Strategy

    • Clarify ESG Ownership: Assign ESG accountability at the board and CxO levels. Establish cross-functional steering committees that include leaders from risk, operations, sustainability, legal, and procurement. Make roles explicit. When responsibility is shared without clarity, it leads to inaction.
    • Link ESG KPIs to Leadership Appraisals: Incorporate progress on ESG metrics into formal executive performance reviews. Tie variable compensation to tangible ESG outcomes, not just the completion of disclosure requirements.
    • Scrutinize ESG Trade Offs: Institutionalize ESG risk and benefit analysis in capital allocation, procurement, and growth decisions. All major investments should be assessed for ESG exposure by the relevant committees before approval.
    • Align with Risk Appetite and Code of Conduct: Embed ESG criteria within the organization’s stated risk appetite. Clearly define what levels of trade off between short term gains and long term risks to reputation, compliance, or sustainability are acceptable and what are not.

    b. Risk Integration & Controls

    • Embed ESG in a Risk Based Framework: Integrate ESG into enterprise-wide risk identification, assessment, and escalation processes. Focus on what is material and purpose driven, ensuring ESG risks are treated with the same discipline as financial or operational exposures.
    • Expand the Risk Taxonomy and Assign Ownership: Update enterprise risk taxonomies to include exposures such as climate disruption, labour rights, data governance, and supply chain integrity. Ensure every function maps its relevant ESG risks into the central register with defined controls, owners, and mitigation plans.
    • Establish ESG-Linked Key Risk Indicators: Monitor leading signals such as supplier code violations, whistleblower reports, or environmental breaches. Set thresholds that trigger escalation through existing governance channels to avoid fragmented oversight.

    c. People & Accountability

    • Build Practical ESG Fluency Across Functions: Move beyond theoretical training. Equip operations, finance, procurement, and HR teams with role-specific ESG guidance that informs day-to-day decisions, trade offs, and escalation procedures.
    • Distribute Responsibility Across the Front Line: ESG ownership should not rest solely with sustainability or reporting teams. Link ESG responsibilities to operational roles, with measurable targets tied to control implementation, risk mitigation, and incident reporting.
    • Enforce Structured Escalation for ESG Breaches: Treat ESG failures with the same urgency as financial or operational breakdowns. Supplier violations, environmental incidents, or workplace grievances must trigger a formal response, including remediation steps and governance review.

    d. Data, Reporting & Technology

    • Integrate ESG into Risk and Control Systems: Move ESG from static reports to live data streams embedded in incident management tools, RCSA processes, and third party risk platforms. Ensure ESG risks and breaches inform how the organisation governs and responds in real time.
    • Design ESG Data for Actionability: Prioritise usability over volume. Enable procurement teams to flag supplier risks, operations to monitor environmental exposure, and risk committees to evaluate trade offs. Insight, not collection, is the objective.
    • Test Control Implementation, Not Just Documentation: Go beyond policy checklists. Monitor if ESG controls are actually followed, assess how they perform under pressure, and use internal audits to uncover weak links and emerging issues.
    • Use Technology to Scale Discipline, Not Bypass It: Leverage tools to centralise ESG data, trigger alerts, and map exposure. Technology should support control ownership and follow through, not replace it.

    Care should be take however when introducing ESG scoring systems powered by AI. When underlying data or algorithms carry historical bias, AI tools can amplify discrimination, skew assessments. Organizations must exercise caution and ensure AI tools are explainable, monitored, and contextually validated.

    Conclusion – Transitioning From Blueprint to Benchmark

    Embedding ESG into GRC needs more than intent. It requires ongoing assessment. The indicators below offer a practical way to evaluate how ESG risk is being integrated across key decision-making processes. They reflect whether ESG is influencing governance, operations, and risk management in a consistent and structured manner.

    These metrics go beyond compliance. When used thoughtfully, they provide insight into how ESG is shaping internal behaviours, influencing leadership decisions, and guiding procurement and oversight. Tracking trends across these indicators can help firms identify where integration is working and where it needs reinforcement.

    External certifications can play a supporting role, provided they are used to validate embedded practices rather than serve as stand-ins for them. When done right, they help demonstrate that ESG is being taken seriously in practice, not just on paper.

    For mid-sized companies at the ESG inflection point, the question is no longer about ticking the disclosure box. It is about control. True resilience comes from whether ESG risks are embedded into governance, operational controls, and decision-making frameworks.

    This is a structural shift requiring clear ownership, alignment with enterprise risk, and readiness to adapt. Real resilience comes from how ESG informs how a company governs itself, manages risk, and drives accountability.

    The real shift lies in moving from “Are we ESG-compliant?” to “Is ESG risk embedded in the way we govern, decide, and operate?”

  • Inner Game of Tennis

    Inner Game of Tennis

    Duration: 2-4 hours

    Writing Style: Conversational & Reflective

    What is the main hook of this book?

    Gallwey wrote a book about tennis that transcended sport, landing on desks of CEOs, coaches, and therapists alike. Part of its cult status may stem from fans like Bill Gates, but its staying power lies in a deceptively simple idea: performance is an inner game – the one we play against ourselves.

    The opponent within one’s own head is more formidable than the one across the net.

    Premise / Core Idea

    Gallwey splits the self into two players:

    Self-1: The voice in our head. judgmental, anxious, controlling. In the author’s view, Self-1 doesn’t trust the Self- 2 and constantly tries to override its natural instincts.

    At workplace, Self-1 often appears in the form of overthinking, micromanagement, perfectionism, and fear of failure.

    Self-2: The natural, intuitive doer (the body). instinctive, capable, and fluid when left alone.

    This is our intuitive, subconscious self, the part that knows how to do things once it has learned. Classic example being, children learn to walk, catch, and run. Self-2 doesn’t talk or ruminate. It simply acts and most often, effortlessly.

    Peak performance, he argues, comes not from trying harder but from silencing Self-1 and trusting Self-2. The body knows what to do and thinking often gets in the way. This principle applies far beyond sport: whether in boardrooms, negotiations, or bedtime parenting routines.

    The inner game according to the author is about reducing the interference of Self 1 so Self 2 can do its thing. In practice, it is the difference between ‘thinking about the shot’ and ‘letting your body remember it.’ Self-2 the author maintains, knows how to swing once it’s seen and felt it. But Self-1 disrupts the flow by overanalyzing the motion mid-swing.

    Trying Hard ≠ Performing Well

    One of Gallwey’s sharpest provocations is this: ‘Trying too hard is often the very thing that gets in the way.’

    In a world obsessed with hustle, this feels refreshingly subversive. He suggests that when we grip tighter, we lose fluidity. There’s liberation in realizing that peak performance isn’t about doing more, but interfering less.

    Formulaically speaking, Performance = Potential – Interference. Observation over judgment is recommended. Instead of critiquing every move, simply notice. Leaders, coaches, and professionals can benefit from this lens thus fostering awareness without anxiety.

    Application

    The book’s principles align surprisingly well with modern business dynamics. Take risk management:

    · Self 1- driven cultures rely on control, checklists, and fear of failure.

    · Self 2- enabled cultures emphasize trust, intuition, and clarity within structured boundaries.

    Instead of endlessly adding tools, the smarter approach might be asking: What’s interfering with what we already have? In high-stakes environments, from VC funding calls to talent selection, gut instinct often leads the charge. Harnessing Self-2 effectively can be the difference between overthinking and insight.

    Our Take

    Gallwey’s core idea parallels Kahneman’s Thinking, Fast and Slow, yet reaches different conclusions. Kahneman warns us of intuition’s flaws. Gallwey wants us to lean into it, especially in performance-driven arenas.

    We think the principles of Inner Game of Tennis are best leveraged in activities that require performance, creative flow, presence and coaching. The principles might somewhat leave us deluded if we apply it to say, building robust strategy, hiring, risk management and judgement calls. Those are the spaces where we need a healthy mix of both, Self-1 & Self-2, to optimize results.

    One standout concept: Your opponent is your ally. The book redefines competition in a very interesting manner. We will let a quote do the talking:

    “… In tennis who is it that provides a person with the obstacles he needs in order to experience his highest limits? His opponent, of course! Then is your opponent a friend or an enemy? He is a friend to the extent that he does his best to make things difficult for you.”

    “…Only by playing the role of your enemy does he become your true friend. It is the duty of your opponent to create the greatest possible difficulties for you, just as it is yours to try to create obstacles for him. Only by doing this do you give each other the opportunity to find out to what heights each can rise…”

    The book offers a manual for uncluttering the mental court, a fresh lens that confidence is often quiet trust and a toolbox to manage performance anxiety by quietening inner critic.

    Challenger thoughts

    • Most Cognitive Behavioral Approach (CBTs) suggest reshaping and not ignoring / silencing our inner dialogue. We think inner critic is not always noise. It is our in-house risk manager.
    • Gallwey perhaps underplays the role of structured, conscious practice. Intuition / flow needs training. Trusting intuition before that may not be fruitful.
    • The Self-1 vs Self-2 model might be too binary. Human behavior is more complex and layered.
    • Structure, systems and cadence are crucial to enabling successful utilization of Self-2.

    Margin Notes Rating Category: Reference Shelf