SAP + AI SME teams
Every product team is paired with a functional domain SME and a technical architect so decisions are made against business reality, not abstraction.
Build
Industry-ready SAP products, built with SMEs on day one
SMEs across SAP and AI working together to build industry-ready products addressing real business needs — productised from engagements, not prototyped in isolation.
What you get
Outcomesyou can measure
- Products you can deploy — not prototypes you can demo
- SME-led design so edge cases are known before build
- Agile delivery with weekly, show-and-tell cadence
- A deployment runway and ownership plan from day one
Technology
SAP BTPSAP Build Apps + Build CodeCAP + RAPSAP AI CoreSAP HANA CloudSAP Integration Suite
What we deliver
Capabilities,one by one
Product architecture
Clean-core-first design on BTP with event-driven integration, right- sized data models and a deployment plan the ops team will accept.
Agile iterations
Two-week sprints with show-and-tell demos, business user feedback loops and a public backlog you can see and reorder.
Deployment & hypercare
Production readiness checklist, cutover plan and 4–6 week hypercare before handover to AMO or your in-house team.
Ongoing enhancements
Prioritised backlog grooming, feature releases on a regular cadence, and performance / cost tuning as the user base scales.
How we deliver
5 phases,one accountable team
Each phase has a defined output, so you always know what you are getting before the next one starts.
Phase 01
Discover
Business needs, processes and automation opportunities identified in workshops.
Phase 02
Prepare
Solution requirements, tool choice, cost model and expected ROI.
Phase 03
Explore
Mock-up and design review with the client; sign-off on scope and gaps.
Phase 04
Realise
Infra ready, agile iterations against the sprint backlog.
Phase 05
Deploy & Run
Deployment to production with continuous monitoring and tuning.
From ticket to product
Most of our productised accelerators (APxOps, the AI self-help bot, the Purchasing AI bot) started as a one-off engagement — a problem a client needed solved — and were only productised once we saw it enough times to know the pattern. That’s the lens we bring to new product work: build for the specific use case first, generalise only once the pattern is proven.
FAQ
Common questions
What kind of products do you build?
Industry-ready SAP accelerators — monitoring tools, AI assistants, process automations, mass-upload utilities. See the Solutions catalogue for the eleven we've already productised.
Does the IP sit with us or APx?
It depends on the engagement model. Bespoke builds for a single client sit with the client; shared accelerators remain APx IP with a client licence.
What tech stack do you build on?
For SAP-native builds: BTP (CAP, RAP, Fiori, Build Code, Build Apps), ABAP RAP for in-stack extensions, HANA for data-heavy scenarios. For side-by-side: TypeScript/Node.js, React, Python for ML, containerised on the client's hyperscaler of choice.
Who owns the ongoing maintenance?
Negotiable per engagement. Default is a hand-off to AMO at go-live with a short hypercare period. Clients who want the product team to stay on can extend as a dedicated capacity.
Next step
Thinking about product development? Let's talk specifics.
Tell us what you're running and what you're trying to achieve. We'll come back with a view on scope, sequence and effort.