People, process, delivery and AI. Fixed properly, and measured.

Solutions · Forward Deployed, by Runs on People

Engineers in your team. Results in your numbers.

Forward Deployed is our engineering arm. A senior engineer-consultant joins your team, finds where time and money leak, builds AI automations on your real systems, and measures the change before and after. Start small, prove it in your own numbers, then scale what works.

Early engagement

Ways in

Each step is small enough to say yes to, and earns the next one.

Anyone wondering where AI would actually help

Free appraisal

Free

30 minutes

  • The team scan and one process mapped together
  • The three biggest leaks of time and money, named
  • An honest view of whether automation is the answer
Book a free appraisal

Leaders who need to know what's working

Effectiveness Baseline

2 weeks, fixed scope

  • The Delivery and AI Effectiveness Index, measured on your data
  • A ranked list of what to automate first, with the expected return
  • Useful on its own, even if you stop there
Ask about a Baseline

A process that's ready to fix

Deployment Sprint

4 to 6 weeks

  • An engineer-consultant embedded with your team
  • One to three automations built, shipped and adopted
  • Measured before and after, in your own numbers
Talk about a Sprint

Keeping it working, and getting better

Run and Improve

Monthly

  • We host, monitor and fix what we built
  • The index re-measured every month
  • One new improvement every month
Ask about Run and Improve

Across the business

What we automate

The problem on the left, what we build on the right. Every one starts with a free appraisal.

Measured, not promised

The Delivery and AI Effectiveness Index

Four pillars, measured from your own systems before we start and every month after. One question: did AI make the work better?

  1. 01

    Delivery flow

    Lead time, deployment frequency, change failure rate, recovery time and work in progress.

  2. 02

    AI adoption

    Who uses the tools, for which tasks, and where people override them.

  3. 03

    AI value

    Hours saved, cost per task, cycle time, and rework and errors.

  4. 04

    People

    Team scan score, pace and load, trust in the tools, and skills built.

Ground rules

AI makes output cheap. People make it count.

How we work on every engagement.

  • People stay in charge: AI recommends, and a person decides anything that matters.
  • We measure teams, never individuals, and never turn the index into a target.
  • Your data stays in your systems where possible, under a signed data processing agreement.
  • Every automation has an off switch and a manual fallback.
  • If AI isn't the answer, we'll say so.

Book a free appraisal How AI changes the model →