Made Smarter Funding: The Complete Playbook for UK Manufacturers

API middleware, CAD-to-ERP pipelines, and Change Data Capture are CapEx-friendly digital adoption projects — exactly the kind of work Made Smarter Adoption was designed to accelerate. Yet many manufacturers leave money on the table because the project is framed as "AI" rather than as industrial digitalisation with clear productivity outcomes.

This playbook covers how to structure a wrap-and-extend ERP integration so it is fundable, audit-ready, and still useful if the grant is delayed or declined.

Programmes vary by English region and evolve over time, but eligible digital adoption work often includes:

• Integrating shop floor, CAD, or MES systems with ERP
• Building secure APIs and data pipelines for real-time visibility
• Automation that reduces manual data entry and scrap
• Advisory and implementation from approved digital specialists

Pure software licence renewals, unrestricted R&D science projects, or "buy ChatGPT seats" rarely fit. Framing matters: lead with productivity, quality, and resilience — then show how AI agents consume the clean data layer you are funding.

1. UK manufacturing or manufacturing-related business in a participating region
2. SME or mid-market size within the current programme definition
3. A defined digital adoption project with outcomes and milestones
4. Willingness to co-invest (grants usually cover a percentage, not 100%)
5. Ability to cash-flow payment in arrears until claims are approved

Always verify current rules with your regional Made Smarter team — thresholds and match rates change.

Most schemes require multiple comparable quotes. Treat this as procurement hygiene, not theatre:

• Write one clear statement of work (ERP version, systems in scope, success metrics)
• Ask each vendor to price the same scope: middleware, CDC, pilot use case, support
• Document why you selected the winning quote (expertise, risk, timeline — not only price)
• Keep emails and PDFs; auditors ask for evidence months later

Fundable scopes look like capital digital assets: an API gateway, BAQ/IDO adapters, a CDC pipeline, dashboards, and a documented pilot. Retainers that say "ongoing AI experimentation" are harder to defend.

A strong first claim package often includes: architecture diagram, data-flow map, security model (OAuth/JWT, logging), test evidence, and a before/after KPI baseline (scheduling hours, expedites, on-time delivery).

You typically pay suppliers, then reclaim. Align vendor milestones with claim windows. Do not start Phase 4 AI agents before Phase 2 plumbing is live and claimable — auditors prefer completed, evidenced work packages.

• Scope that is mostly cloud SaaS seats with no industrial outcome
• Quotes that are not comparable (different deliverables)
• Missing baseline metrics — "we will be more digital" is not an outcome
• Starting work before approval when the scheme forbids it
• Over-claiming proprietary lock-in tools you cannot handover

1. Assessment and architecture (short fixed fee)
2. Middleware + secure API access to Epicor / Sage / Syspro / SyteLine
3. One high-pain pipeline (CAD-to-ERP or CDC for job status)
4. One operator-facing win (dashboard or scheduling assistant pilot)
5. Handover docs so your team can operate the asset

That sequence is how we recommend unlocking Made Smarter co-funding for ERP middleware work — without betting the factory on a rip-and-replace.

If you want an honest read on eligibility and a statement of work that survives both engineering and grant scrutiny, book a free assessment. We will map your ERP, name the bottleneck worth funding first, and tell you if Made Smarter is a fit — or if you should simply run a small self-funded pilot.