EPiC Agile and Orchestrated Partner to Get AI Out of Pilot and Into the P&L

I wanted you to hear this from me first: EPiC Agile is officially partnering with Orchestrated to deliver end-to-end ROI for organisations putting AI to work.

EPiC leads the people side: leadership alignment, change and adoption. Orchestrated leads the technology side: production-grade AI, data and platforms. Together we work as one accountable team, and we're measured on one thing: measurable return on your AI investment.

Why AI pilots stall

Over the past year, a number of our clients have asked us to help get their AI pilots unstuck, or to get them started in the first place. The pattern was hard to miss. AI rarely stalls because of the technology alone.

The wider evidence says the same thing. MIT's NANDA initiative found that 95% of enterprise generative AI pilots show no measurable return. BCG reports that around 60% of companies are seeing minimal value from AI. Most organisations have bought the licences and run the pilots, but few have seen the payback.

When we looked at what was blocking our clients, it came down to two kinds of readiness.

Business readiness: people aren't ready to adopt it

• Leaders aren't aligned on what AI will and won't be used for
• Teams fear for their roles, and resist
• Processes and decisions haven't been redesigned for AI
• There's no plan for change, training or adoption

Architecture readiness: systems aren't ready to carry it

• Hidden technical debt sits in code and pipelines
• Adding more code on top breaks them further
• Data is too poor to trust AI outputs
• Security and risk weren't designed in from the start

Fix one without the other and AI still stalls. You need both, together, from day one.

Why we partnered with Orchestrated

We could take care of the people side ourselves. That's been EPiC's work for years: human-centric business agility and change for more than 100 enterprise clients. What we wanted was a partner who is as serious about engineering as we are about people and change.

We found that in Orchestrated. They build high-quality, compliant AI and platforms in regulated environments, and they share our belief that AI only counts when it delivers measurable value.

For the past few months we've been bringing EPiC's AI Ready Change Framework and Orchestrated's implementation model together into one approach.

What the partnership means for clients

One team. Change and engineering work side by side from day one. There are no hand-offs and no vendor finger-pointing.

Shared ownership of the outcome. We stay accountable together until you get the result you were promised.

A fixed price you can rely on. You know the cost before we start. Each stage is gated, so you only commit to the next step once the last one has paid off.

How EPiC and Orchestrated work together

We don't work in sequence, and nothing is handed over the fence. Change and engineering move together, so you reach value faster with no handover risk.

1. Joint audit. Two forward deployed engineers, one for human and business change and one for technology and engineering, run a single end-to-end diagnostic of your readiness, blockers and opportunities.
2. Integrated delivery. We ship a real use case into real work, and change the roles, decisions and governance around it at the same time.
3. Capability transfer. We coach your leaders, process owners and engineers to run and extend what we build. We don't create dependency.

Your first 12 weeks

Every stage moves your people, your technology and your value case forward together, and ends with something concrete in your hands.

Weeks 1–3: Align and assess

• People: Leadership alignment and AI charter
• Technology: Code, data and pipeline assessment
• Value: KPIs and value baseline
• You receive: A leadership AI charter

Weeks 4–6: Map and prioritise

• People: Value centre mapping by capability
• Technology: AI opportunities tiered by risk
• Value: Indicative plan and cost range
• You receive: Risk-tiered AI priorities and an ELT plan

Weeks 7–9: Prove it on real work

• People: Governance, operating model and role redesign
• Technology: One use case proved on real work
• Value: Investment logic by capability
• You receive: Proof results and a governance model

Weeks 10–12: Ready to scale

• People: Adoption plan, with owners named
• Technology: Target architecture, delivery-ready
• Value: Integrated roadmap and cost
• You receive: A roadmap and executive investment case

Two ways to start

AI Jump Start (3 weeks, for organisations new to AI). A fixed-price joint diagnostic of your people and technology, with a prioritised, costed path to value.

Pilot to Production (8–12 weeks, for stalled pilots). We unblock the people and platform issues holding your pilot back, and get it live in real work.

How we measure success

We agree the KPIs with your leaders up front, baseline value in the first weeks, and bank the benefits before we hand over. You get business outcomes, not activity reports.

• AI in production: use cases live, and idea-to-production time
• People using it: adoption and sentiment over time
• Faster, safer decisions: decision cycle time and delays removed
• Systems that carry AI: delivery speed, stability and incidents
• Value captured: the value baseline against benefits banked
• Capability owned: roles uplifted and hand-over complete

You own everything we build: the software, the IP, the methods and the capability. Governance runs through your ELT and forums, and the exit plan is agreed from day one.

Frequently asked questions

Let's talk about your AI pilot

Is your AI pilot stuck, or is an implementation struggling? Give us 45 minutes. We'll look at where it has stalled, what's blocking it in your people and your platforms, and whether a fixed-price AI Jump Start is the right next step.

Book a 45-minute conversation with Rob Gaunt