A financial services group builds a governed AI adoption engine.
A South African financial services group wanted the benefit of AI across investment banking, corporate finance, securities, compliance and reporting without loosening its grip on governance. Numata replaced fragmented experimentation with a managed adoption model: executive alignment, secure onboarding, AI Champions, departmental workshops and finance-specific agents.
- Managed AI · Financial services group · South Africa
- DayOne+ M&A Tech Advisory
What changed, in numbers.
- 1
- Governed adoption model replacing fragmented departmental experimentation
- 5
- Finance-specific agents live: valuation, research, compliance, reporting and knowledge
- Lower
- Shadow AI risk as teams moved from public tools to an approved environment
Where the engagement started.
Interest in AI was growing faster than the controls around it. Employees were exploring public tools independently, usage differed by department, and leadership had little central visibility into what was being used or on what information. In a business handling sensitive financial data, the exposure created by uncontrolled AI use mattered as much as the opportunity. What the group needed was not access to AI technology, but a managed adoption framework balancing innovation, governance, security, enablement and business value.
How the work was sequenced.
- 01Started with executive alignment: strategic opportunities, governance expectations and the adoption priorities leadership would stand behind.
- 02Onboarded users into a governed AI environment mapped to the group's own security and compliance requirements.
- 03Enabled departmental AI Champions to carry good practice into their teams and build internal momentum.
- 04Ran role-specific workshops anchored in real finance workflows rather than generic AI awareness training.
- 05Built specialist agents around the work: research, compliance knowledge, reporting, valuation preparation and knowledge retrieval.
What the client was left with.
- Managed AI service covering governance, secure onboarding, enablement, agent build and ongoing optimisation.
- Valuation support agent assisting structured preparation for DCF, LBO and comparable company analysis.
- Research and market intelligence agent to locate, summarise and structure research inputs for review.
- Compliance support agent giving controlled access to policy and compliance knowledge so teams work from approved information.
- Reporting assistant for repeatable management, committee and client reporting drawn from governed business context.
- Knowledge retrieval assistant across internal templates, reference material and institutional knowledge.
- AI Champions network and departmental workshop programme, with a repeatable model for future use-case expansion.
We wanted the upside of AI without losing control of our information. The programme gave us an operating model our compliance team could actually defend.
The full narrative, sequencing and lessons, as a PDF.
The PDF covers the challenge, the approach, everything we delivered, measurable outcomes and the lessons the DayOne+ team took from the engagement. No form, no gate. All names, sectors and identifying details have been removed.
What the team took away.
- AI is an organisational capability, not a technology project. It has to be governed, enabled, measured and improved like any other service.
- Governance earns adoption. Once teams knew which environment was approved, the pull towards public tools fell away.
- Workshops that start from a department's own workflow move people into everyday use. Generic AI training does not.
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