AI FORWARD DEPLOYED ENGINEERPRIVATE · ONE ON ONE8 WEEKS

Build AI that works.
Where the work happens.

Become the engineer who can discover, scope, build, deploy and drive adoption of production AI systems with customers.

BOOK AN INTRO CALL →
DISCOVERSCOPEBUILDDEPLOYADOPT

Your starting point determines the build. On the intro call we assess your engineering depth, customer exposure and target role, then shape the curriculum around the gaps that matter.

Engineering depth.
Customer reality.

01 · DISCOVERFind the real problem

Workflow discovery, stakeholder interviews, ROI, success measures and when to say no.

02 · SCOPEDesign the right system

Technical scoping, architecture, build-versus-buy judgment and delivery planning.

03 · BUILDProve value fast

Rapid prototype, production code, RAG, tools, agents, MCP and enterprise integrations.

04 · ASSUREKnow it works

Evals, red-team testing, observability, cost, privacy, security and governance.

05 · DEPLOYOperate reliably

Deployment, reliability, rollback, incident handling and production runbooks.

06 · ADOPTMake change stick

Stakeholder training, adoption, handoff, expectation management and measurable outcomes.

07 · COMPOUNDFeed the product

Turn field feedback into reusable capabilities, case studies and a product roadmap.

08 · LEADOwn the outcome

Balance customer trust, commercial judgment and technical truth under ambiguity.

Eight weeks.
Field to production.

WEEK 01Run discovery

Uncover the workflow, constraints, users and outcome behind a request.

Discovery brief + workflow map
WEEK 02Scope the system

Set success criteria, architecture, risks and a credible delivery boundary.

Technical deployment proposal
WEEK 03Prove the risk

Build a rapid prototype around the least certain, highest-value assumption.

Customer-testable prototype
WEEK 04Build for reality

Connect data, tools and workflows into a maintainable production system.

Integrated AI system
WEEK 05Evaluate and red-team

Measure quality, failure modes, safety, latency and cost on real cases.

Eval harness + scorecard
WEEK 06Operationalise

Secure the system and design observability, rollback and incident response.

Readiness review + runbook
WEEK 07Deploy and adopt

Run a live pilot, train stakeholders and close the workflow gap.

Live pilot + adoption plan
WEEK 08Compound the field

Package learning into reusable capability and a credible next roadmap.

Case study + 90-day plan

For engineers ready
to own the outcome.

BEST FOR

Experienced software, data or solutions engineers, technical consultants and tech leads.

YOU SHOULD BRING

Comfort writing and shipping code, plus a real customer problem, product or credible simulation.

YOU LEAVE WITH

A production-minded system, evals, operational runbook, adoption plan and field-tested FDE playbook.

START WITH THE ROLE GAP

Tell us what you have built
and where you want to operate.

We will assess where you are across engineering, customer discovery and delivery, then recommend the sequence that closes your highest-value gaps. If the track is not right for you, we will say so.