AI governance. Financial services.

We mean to
be pedantic.

We examine the details behind your AI’s decisions.

For small and mid-sized financial-services firms, we turn questions about AI into a practical governance playbook: know your systems, assign responsibility and keep the evidence.

Let’s examine your AI Explore our services

Because the finer details are where accountability begins.

Built for the realities of financial services

  • Banks
  • Credit unions
  • Fintechs
  • Financial-services teams

01 / What we do

From “we use AI” to
“we can account for it.”

Start where you are. Build the controls you need. Keep them working as your systems change.

01 / Understand

AI governance
diagnostic

Establish what AI is in use, where the risks sit and what needs attention first.

  • AI inventory and use-case discovery
  • Initial risk classification and gap assessment
  • A prioritized, practical action plan

Typical engagement · 2–3 weeks

Discuss a diagnostic

02 / Establish

Governance
implementation

Turn the findings into clear ownership, repeatable controls and evidence your teams can use.

  • System cards, policies and decision records
  • Vendor review and human oversight definitions
  • Monitoring and incident escalation procedures

Typical engagement · 8–10 weeks

Discuss implementation

03 / Maintain

Ongoing
governance

Keep your governance current after launch, through new use cases, vendor changes and emerging issues.

  • Scheduled reviews and evidence updates
  • Support for exceptions and governance decisions
  • Follow-up on monitoring findings and actions

Monthly advisory engagement

Discuss ongoing support

Engagement scope and timing are agreed around your systems, priorities and team capacity.

02 / How we think

Detail is not
a distraction.
It’s the work.

A policy alone cannot tell you whether an AI system is behaving as intended. You need to understand the data, the decisions and the people around it.

Pedantic brings data-management discipline and responsible-AI thinking into a step-by-step consulting approach, proportionate to your organization.

[ a ]

Look at the whole system.

Models, source data, vendor-embedded AI, staff use and human handoffs all belong in the conversation.

[ b ]

Make accountability explicit.

Define who owns the risk, who reviews the outcome and who has authority to stop or override a decision.

[ c ]

Make the reasoning traceable.

Record decisions, limitations, unresolved tensions and the evidence that supports the next action.

Informed by established disciplines

DAMA · EDM Association · The Alan Turing Institute

Independent consulting. No affiliation, endorsement or certification implied.

03 / What you take away

Governance you can
put your hands on.

We help your team develop and maintain the core records behind responsible AI use—not just another presentation.

  1. 01 AI inventory
  2. 02 Risk classification
  3. 03 Model / system cards
  4. 04 Decision log
  5. 05 Vendor assessments
  6. 06 Incident escalation process
  7. 07 Human oversight definitions
  8. 08 Monitoring cadence
  9. 09 Approved use policy

Already have portal access?

Use the separate governance workspace. Authorized sign-in is required.

Portal sign-in

04 / Start a conversation

Let’s get
into the details.

Tell us what your team is working on, what worries you or where you need a clearer view. We’ll discuss where Pedantic can help.

Prefer email?matthew@obtdataconsultants.com

Please keep your enquiry high-level. Do not include customer records, account numbers, credentials or confidential system information.

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