Making AI work for financial services teams

Enable Your Teams for the AI Era

I help financial services leaders turn AI ambition into adoption. From literacy programs to responsible governance, we equip your teams with the confidence, workflows, and guardrails to use AI effectively at scale.

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AI enablement capabilities: Literacy · Workflow · Governance
Team adoption satisfaction: 90%
Regulatory readiness score: 100%

AI Enablement Blueprint

Every engagement includes:

1AI literacy workshops tailored to risk, compliance, and front-office teams
2Human-AI workflow design that embeds explainability and oversight
3Change management playbooks for adoption, incentives, and feedback loops
4Responsible AI controls: governance frameworks, policy kits, compliance alignment
5Executive metrics dashboard tracking usage, value, and guardrail adherence

Trusted for responsible AI enablement

Financial institutions rely on me to upskill teams and satisfy regulators while scaling AI.

Financial services

Asset mgmt, banking, fintech enablement

Regulatory findings across AI launches

4.7/5

Average user confidence scores

Asset Management

Literacy programs and human-AI workflow pilots for portfolio management, compliance, and operations teams.

Banking & FinTech

Responsible AI change programs and governance frameworks that unlock pilot expansion without compliance surprises.

Services

AI Enablement Offerings

End-to-end consulting to help financial services teams adopt AI responsibly, confidently, and with measurable outcomes.

AI Enablement & Adoption

6–12 weeks

Build the literacy, workflows, and coaching your teams need to use AI in daily delivery.

Includes

AI literacy training programs tailored to role and risk appetite
Human-AI workflow design with defined oversight stages
Team coaching, office hours, and enablement kits
Adoption metrics dashboard and KPI reviews

AI Strategy & Governance

4–10 weeks

Align AI investments with business goals while satisfying regulators and risk committees.

Includes

AI use-case discovery + prioritization workshops
Risk assessment and responsible AI framework development
Policy kits covering model lifecycle, monitoring, and escalation
Executive governance and reporting cadence

Data & Analytics Modernization

6–14 weeks

Ensure your data foundation is ready for AI scale, automation, and trusted decisioning.

Includes

Data governance for AI readiness (quality, lineage, ownership)
Modern analytics infrastructure and semantic layers
Automated reporting and executive dashboards
SQL/Python pipelines with reproducible documentation

Technology Implementation

4–16 weeks

Deploy the platforms that operationalize your AI roadmap with strong governance baked in.

Includes

Collibra configuration for AI governance and stewardship
RAG and multi-agent AI pilots with human approval loops
Power BI/Tableau integration for augmented analytics
Playbooks for scaling pilots into production

Every engagement includes stakeholder alignment sessions, change management planning, and a 30-day adoption check-in to ensure momentum.

Schedule enablement discovery call Download governance playbook sample

Case Studies

AI Enablement in Action

Recent engagements helping financial services organizations move from pilots to confident, compliant AI adoption.

Asset Management

Global Asset Manager – AI Literacy Program

10 weeks

Teams enabled: 14
Tool adoption increase: +85%

Challenge

Front-office, risk, and operations teams were experimenting with GenAI tools without shared guardrails, creating compliance and reputational risk.

Approach

Delivered role-based literacy sessions with scenario exercises and approved prompts
Co-designed human-AI workflows with defined hand-offs, approvals, and escalation paths
Implemented adoption scorecards and weekly office hours to surface issues early

Outcome

Within eight weeks, 85% of targeted employees were using approved AI assistants daily, with zero compliance incidents and a 4.7/5 satisfaction score for enablement support.

Broker-Dealer

Broker-Dealer – Responsible AI Change Program

12 weeks

Process automation: 40%
Satisfaction with new workflow: 92%

Challenge

Existing automation proof-of-concepts stalled because middle-office teams distrusted AI recommendations and lacked visibility into how decisions were made.

Approach

Ran change-management workshops with compliance, legal, and business leads to map accountability
Introduced explainability dashboards and continuous human-in-the-loop checkpoints
Embedded “confidence tiers” in workflows so staff knew when to review, approve, or escalate outputs

Outcome

Reduced manual review effort by 40% while preserving human oversight, with 92% of users indicating they trust and understand the augmented process.

Banking

Regional Bank – AI Governance Framework Launch

8 weeks

Policies instituted: 11
Regulatory findings: 0

Challenge

The bank’s innovation team needed a governance model to satisfy regulators before expanding GenAI pilots to customer-facing channels.

Approach

Developed AI risk taxonomy, control library, and model inventory tied to existing compliance processes
Configured Collibra as the system of record for AI assets, including lineage, owners, and validation checks
Facilitated executive governance council and quarterly reporting cadence across technology, risk, and business units

Outcome

Launched an auditable AI governance program with zero regulatory findings, enabling two additional AI pilots to move into production under the new control framework.

Why Partner With Me

Human-Centered AI Transformation

I bridge the gap between ambitious AI roadmaps and the people, controls, and culture needed to make them real inside regulated financial institutions.

AI Literacy Leadership

Designed role-based enablement programs for portfolio managers, risk officers, and operations teams—complete with approved prompt libraries, playbooks, and office hours that build confidence.

Exec sponsor feedback: “Our desk leads now have a repeatable way to upskill their teams and measure adoption.”

Change Management at Scale

Lead workshops that align compliance, legal, and business leaders on accountability. Every rollout includes incentive design, communication plans, and feedback loops to keep momentum.

Average satisfaction for augmented workflows: 4.6/5 across front- and middle-office users.

Governance & Risk Fluency

Translate regulatory expectations into practical guardrails: AI risk taxonomies, model inventories, and audit-ready controls embedded in Collibra and existing risk frameworks.

Zero regulatory findings across AI pilots launched under the governance frameworks I’ve implemented.

What to expect in the first 30 days

Stakeholder alignment session with executive, risk, and business sponsors
Tailored AI enablement plan with literacy tracks and workflow pilots
Governance checkpoint to map required controls and policy updates

Credentials that matter to your regulators

MIT Sloan MBA focused on analytics, change management, and risk governance
Active security clearance enabling work with highly regulated institutions
10+ years leading data + AI transformations across asset management, banking, and fintech

Learn more about my enablement methodology

Start Your Enablement Journey

Ready to launch AI that your teams will actually use?

Whether you’re establishing guardrails or scaling pilots, I’ll help you build the literacy, governance, and change management muscle that makes AI stick.

Choose your next step

Request an AI enablement assessment Download the AI readiness guide Book a 20-minute strategy call

Prefer email? ben@benjaminblack.consulting

Connect on LinkedIn for AI enablement insights and event updates.

Typical engagement journey

1Discovery & readiness assessment
2Co-design literacy tracks, workflows, and governance controls
3Launch enablement pilots with adoption metrics and change support
4Scale with guardrails, retrospectives, and ongoing sponsorship coaching

Download resume (PDF)