From AI curiosity to a governed portfolio of practical use cases.
A national multi-store retail operator wanted to understand what AI could do for marketing, finance, training and store operations. Numata converted early interest into a managed programme that combined secure AI enablement, hands-on workshops, custom agents and targeted workflow development.
- Managed AI programme · Multi-store retail operations · Head office, stores, finance, marketing and training
- DayOne+ M&A Tech Advisory
What changed, in numbers.
- 1
- Managed AI operating model spanning marketing, finance, training and operations
- 4
- Focus areas activated: marketing, finance, training and store operations
- 3
- Modernisation workstreams progressed: finance app, Academy and Marketing Hub
Where the engagement started.
AI-adjacent opportunities were emerging in parallel across marketing content, store operations, finance reporting, training and internal knowledge. The risk was that AI would stay a collection of isolated demos rather than becoming a managed capability with clear ownership, workshops, governance, solution delivery and measurable adoption. The engagement had to turn enthusiasm into structured execution.
How the work was sequenced.
- 01Framed the programme around Apps, Agents and Workflows rather than one-off prompts or chat demos.
- 02Ran practical enablement workshops covering Chat, Tools, Integrations and Agent creation for real day-to-day tasks.
- 03Built targeted agents around live operational questions: marketing, finance analysis, training content and location intelligence.
- 04Surfaced platform, access, payments and messaging dependencies early so build work did not stall on hidden blockers.
What the client was left with.
- Managed AI service wrapping advisory, enablement, agent build, workflow design and progress reporting.
- Custom agents including weather-responsive marketing, finance reporting, training content and a location-scout agent covering demographics, viability, competitor risk and preferred store zones.
- Chat, Tools and Integration training plus Agent training delivered, with Apps and Workflows workshops proposed as the next step.
- Application modernisation momentum: Finance app rebuild, internal Academy and Marketing Hub progressed with Entra ID authentication, SharePoint Online storage and Teams notification patterns.
- Risk and dependency register covering build-platform credits, app access, local payments alternatives and WhatsApp/Twilio onboarding.
The shift was not from manual work to magic. It was from disconnected experimentation to governed, practical AI use cases shaped around real operational work.
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 adoption is a workflow problem, not a prompt problem. Value shows up when agents sit next to real operational work.
- Enablement has to reach beyond the enthusiasts. Training tasks anchored in day-to-day work move a wider group into everyday use.
- Dependencies decide the timeline. Build credits, app access, local payment providers and messaging onboarding must be resolved up front.
From parent-company dependency to standalone operations.
Corporate divestiture · Global industrial technology · Multi-region
Merger integration, then a clean carve-out of the consulting arm.
Merger integration, later entity separation · Professional services · Southern Africa
De-risking a compliance-sensitive aerospace carve-out.
PE-backed divestiture · Aerospace manufacturing · US, UK, APAC