Enterprise solutions

Walk into the steering committee with proof. Bounded SAP and AI outcomes, fixed price, measured after go-live.

Every package is scoped as one measurable outcome your programme can absorb without re-planning: success criteria in the contract, a fixed price, a measurement date, and remediation at our cost for shortfalls attributable to us. The one thing large integrators won't put in writing: remediation at our cost for shortfalls attributable to us. Commercials arrive as a written fixed-price proposal within five business days of a consult.

SAP transformation · the 2027 decision

Decide with evidence. Extend without breaking the core. Activate AI under governance.

ECC mainstream maintenance ends December 2027 and specialist capacity is contracting. Each package below closes one decision or delivers one production-ready component — bounded, fixed-price, measured — so your programme absorbs it without re-planning. Assess, then build, under the same terms: we are willing to own what we recommend.

SAP capability S/4HANA · BTP (CAP, Fiori, Integration Suite) · SAP EAM · SAP EHSM · OpenText for SAP (Extended ECM, VIM) · SAP AI services (Joule, AI Core, Business AI)

Need something outside the packages below — an EAM process redesign, an EHSM rollout, an OpenText integration? Same contract: a consultation, then a written fixed-price proposal with success criteria within five business days.

Now Typical migrationwindow: 18–36 months Dec 2027 ECC mainstreammaintenance ends
Decision support

What does deferring past 2027 cost you? Run your own numbers.

An interactive estimate of extended-maintenance premiums, skills-cost inflation and custom-code regression effort — computed from your inputs and editable assumptions, not from ours.

Open the ECC 2027 risk calculator
~21,000 organisations still run ECC; migration skills demand may outstrip supply ~3:1 by 2027, with specialist rates rising.

S/4HANA Readiness Assessment

Outcome: a board-ready migration decision pack, fast — not a 6-month study.

  • ECC estate & custom-code scan (AI-assisted analysis)
  • Clean-core gap analysis: keep, move to BTP, retire
  • Costed migration roadmap with risk register
  • Business case your CFO can take to the board
Fixed-price quote after a discovery consult
Book this assessment
Custom ECC code is the #1 migration blocker — and BTP extension developers are among the scarcest roles in the market.

BTP Clean-Core Extension

Outcome: one custom-code family moved to BTP, production-ready — CAP + Fiori, documented and handed over.

  • CAP (Node.js) service on BTP with HANA Cloud
  • Fiori Elements UI, role-secured (XSUAA)
  • Change-logged, i18n-ready, additive-only schema
  • Works for migrators AND deliberate ECC stayers (freeze the core, extend outside)
Fixed-price quote after a discovery consult
Scope this extension
RISE and GROW with SAP contracts now bundle Joule AI assistants from day one — activating, extending and governing them well is the actual work, and partner capacity is scarce.

SAP Agentic AI Enablement

Outcome: two AI use cases live in your SAP landscape with governance guardrails and human-in-the-loop controls.

  • Use-case selection ranked by measurable value
  • Joule agent / BTP AI configuration & extension
  • AI governance pack: approvals, audit trail, fallbacks
  • Evaluation harness so quality is measured, not assumed
Fixed-price quote after a discovery consult
Discuss use cases
AI governance & sovereign AI

Know every AI you run. Keep the sensitive ones inside the building.

Boards, auditors and regulators now ask the same two questions: what AI is running, and where does the data go. These packages answer both with evidence you can hand over.

Most organisations now run more AI than they can inventory: industry studies report ~9 in 10 have had a GenAI-related security incident, and about half of production AI agents run unmonitored.

AI Governance, Security & Compliance Review

Outcome: a complete AI inventory, risk classification and remediation roadmap — before an incident or an auditor finds the gaps.

  • Complete AI & agent inventory across the business
  • Risk classification, EU-AI-Act-aware where it applies
  • Security & monitoring gap review for deployed agents
  • Prioritised remediation roadmap with documentation templates
Fixed-price quote after a discovery consult
Book a review
Industry analyses report 55% of enterprise AI inference now runs on-premises or at the edge (up from 12% in 2023) — sovereignty, confidentiality and regulation are pushing AI back inside the building.

Sovereign Business Copilot

Outcome: a grounded AI copilot on your own infrastructure — answers from your data, cites its sources, and in sovereign mode nothing ever leaves your machine.

  • Two expert personas: small-business copilot, or SAP/enterprise operations copilot
  • Fully offline sovereign mode with a local model — zero data egress, provable
  • Hybrid mode with a leak-guard: learns from the internet without sending your company terms out
  • Local audit trail and a kill switch you operate yourself
Fixed-price install + grounding · quoted after a discovery consult
Book a demo
Enterprise advisory & assurance

The artefacts that get decisions funded and go-lives signed off.

Architecture your board can read, business cases your CFO can defend, and acceptance records your assurance gate will pass. Editable formats your team keeps; no consultant dependency.

Transformation decisions stall for months when nobody can show the architecture — current state, target state, and the path between — on one page the board can read.

EA Studio — Architecture Pack

Outcome: a decision-ready enterprise-architecture pack — capability map, L0–L2 views, integration landscape — in editable formats your team owns.

  • Current-state and target-state architecture, capability-mapped
  • Editable diagrams (draw.io / Visio / PowerPoint), not locked PDFs
  • Options and trade-offs stated plainly for executives
  • Hands over with a maintained source, not a consultant dependency
Fixed-price quote after a discovery consult
Scope an architecture pack
Good initiatives die in bad business cases — benefits unquantified, options missing, costs unanchored — and funding goes to whoever wrote the clearer paper.

Business Case Builder

Outcome: an investment-grade business case — options analysis, costed scenarios, quantified benefits map — ready for your board or funding gate.

  • Structured options analysis (including do-nothing, honestly costed)
  • Benefits quantified with the method shown, not asserted
  • Sensitivity on the two riskiest assumptions
  • Built with your finance team so they can defend every number
Fixed-price quote after a discovery consult
Build a business case
Go-lives get contested when technical and functional acceptance records don't line up with what was agreed — assurance evidence assembled in a panic is expensive and unconvincing.

Attesta — Acceptance & Assurance Records

Outcome: TAR/FAR acceptance records aligned and evidenced — every requirement traced to a test and a sign-off, ready for assurance review.

  • Technical & functional acceptance records structured and aligned
  • Requirement → test → evidence → sign-off traceability
  • Gap register with owners before the assurance gate, not after
  • Reusable framework your PMO keeps
Fixed-price quote after a discovery consult
Discuss assurance readiness

Running a smaller business?

Different problems, different page: automation set up and run for you, measured in your own numbers, on the same contract.

See small-business solutions

Legal & ethical by design

Every solution ships with privacy-by-design data handling, human-in-the-loop controls for consequential decisions, and honest claims — we publish outcome targets and then measure them, and we never sell "AI replaces your staff." Read our Responsible AI Commitment, Privacy Policy and Terms.

Market context drawn from 2026 industry research (SAP Sapphire 2026 announcements; S/4HANA 2027 maintenance-deadline analyses by K2 University, Kellton, IgniteSAP and CIO; Kiteworks and Gravitee AI-security studies; on-premises AI inference analyses). Statistics are cited industry context, not a guarantee of individual results; every engagement defines its own measured success criteria.