First Ader

AI operations & commercial consultancy

Agentic workflows that survive contact with a real operation.

We find the work worth automating, build it into the operation, and leave your team owning it.

120+
people led
£100M+
budget owned
Regulated
healthcare
In production
agentic workflows

The problem

The pilot works. The cost base doesn't move.

Most businesses now have an AI line in the plan and something running in a corner nobody depends on. It never changed the numbers, because it was never wired into the path the work actually takes.

Two groups sell into that gap: strategy firms, who produce a roadmap and leave, and development shops, who produce agents and leave. Neither has carried a rota, defended a headcount plan, or explained to a regulator why an automated decision was made.

  • Rework

    The same case touched four times because nothing caught it early.

  • Chase

    People employed to ask other people for things.

  • Wait time

    Work sitting in a queue while cost accrues against it.

  • Premium cover

    Agency, overtime and escalation paying for the gap.

How we work

One front door, then two ways forward.

The Diagnostic comes first. Everything after it is optional, and the plan is yours either way.

Start here

10 working days

The Diagnostic

A ranked map of what to automate, what it is worth, and what to leave alone. Fixed scope, written for the person who has to deliver it.

Then

8–16 weeks

The Build

One to three workflows running in the operation, owned by their team. Staged gates, shadow mode before cutover.

Then

Varies

Enable

Your engineers, ops and growth people able to do this without us. Three tracks, run against your own workflows.

What we think

We publish the method, not client logos.

No case studies and no pricing tables. Just what we believe about this work, written out.

Operations

Where pilots die

Most agentic pilots do not fail on model quality. They fail at the seam where the workflow meets an operation that has exceptions, rotas, regulators and staff turnover.

4 August 2026 · 8 min read

Worked problem

The real cost of a dropped offer

Post-offer dropout is treated as a recruitment metric. It is a capacity metric, an overtime metric and, in regulated services, a compliance metric. Here is how the number actually compounds.

21 July 2026 · 11 min read

Method

What we advised against building

A diagnostic that never returns a 'do not build' finding is a sales document. Three examples of work that looked automatable and was not.

2 July 2026 · 7 min read

Split of functions

Detection is automated. Judgement stays with named humans.

Every workflow we build has this line drawn explicitly, in writing, before anything reaches the live path.

Agentic

Detection, chase and routing

  • Watching queues and flagging the exception before it ages
  • Chasing the missing document, signature or data field
  • Routing work to the right person with the context attached
  • Reconciling systems that disagree, and reporting the delta

Human

Judgement and accountability

  • Any decision a regulator, customer or clinician would question
  • Pricing, escalation and exception approval
  • Owning the workflow, its gates and its failure cases
  • Deciding when the automation is switched off

I run an operation

Cost-to-serve is rising and the headcount plan you need is not affordable.

I own a portfolio

There is an AI line in the value-creation plan and it has not moved in two quarters.

We have run the operation we are being asked to fix. That is the whole proposition.

If you want a roadmap, a proof of concept for the board, or someone to be enthusiastic about AI with you, we are the wrong firm. We build things that go into the live path and stay there.