Forward Deployed Engineering · Barcelona · Europe

Embed engineering where the problem lives.

AI, data and software — from real workflow to production.

Enable FDE embeds directly with your team, works in your codebase and systems, and owns a defined outcome from technical discovery through production and handover.

Discuss a deployment What is FDE?

Senior-led

Senior-led delivery stays accountable from scope through production.

Embedded

We work in your repos, tools, data and operating rhythm rather than from a detached backlog.

Production-owned

A deployment is not finished when the demo works. It is finished when the workflow works.

DELIVERY BACKGROUND

Ex-Deloitte · ex-Accenture · London proprietary trading · production platform built and operated from zero

Prior senior delivery experience. Not Enable FDE client engagements.

Why FDE

The gap is rarely the model. It is the last mile.

AI pilots, data projects and integrations usually become difficult where software meets a real organisation: permissions, legacy systems, exceptions, operational ownership and the people who must use the result.

AI pilot → production

Evaluation, guardrails, integrations, observability and the workflow around the model.

Manual operation → internal system

Replace repetitive coordination, reconciliation and reporting with software that fits the team.

Fragmented data → decision surface

Connect sources, model the data and put trustworthy metrics where decisions happen.

Integration blocker → working flow

Connect APIs, legacy systems and supplier platforms so a commercial process can actually complete.

Different operating model

Not advice. Not a spare pair of hands.

Forward deployed engineering sits between conventional consultancy and staff augmentation: close enough to the business problem to own the outcome, and technical enough to ship the code.

Consultancy

Recommends what should change

Often ends at strategy, specification or programme layer

Staff augmentation

Adds engineering capacity

Usually works a backlog owned and prioritised by the client

Forward deployed engineering

Owns a defined deployment outcome

Discovers, builds, integrates, measures and transfers

Prior delivery

The last mile has been crossed before.

Forward deployed engineering is a claim about accountability, so it needs evidence. These are anonymised outcomes from prior senior delivery roles, each mapped to a service on this site.

Sectors worked in

Financial services & trading
Automotive & aerospace
Travel & marketplaces
Professional services

Proprietary trading · London~£500k/year

Automated interest calculation and FX reconciliation unlocked client-facing revenue and removed around two days of manual operations every month.

Evidence for: Operational automation

Regulated financial servicesFirm-wide AI

A retrieval-augmented knowledge system shipped with standardised ingestion, indexing and access controls, so the whole firm could use it safely.

Evidence for: AI productionisation

Trading operations13:00 → 08:00

Automated liquidity pipelines put lender estimates in front of the team five hours earlier and removed roughly half a day of manual work.

Evidence for: Data & decision systems

Automotive & aerospaceMulti-terabyte

Performance migration and standardisation across large PySpark pipelines on Palantir Foundry and AWS, with deployment status analysis automated for an SAP migration.

Evidence for: Technical rescue

Professional servicesThousands of users

Firm-wide financial and sales reporting with standardised KPIs and a faster month-end close, adopted from executive level through to partners.

Evidence for: Decision surfaces at scale

Financial servicesOwned after handover

Expiry tracking and exception monitoring reduced operational risk, and the data function moved out of Operations into Technology with the roadmap owned there.

Evidence for: Transfer

Anonymised outcomes delivered in prior senior permanent and programme roles. They are evidence of engineering capability rather than Enable FDE client engagements.

Proof of execution

Built in production, not in a slide deck.

MyEscapePlan is a production travel-intelligence platform built from zero across AI decisioning, data pipelines, consumer and advisor applications, APIs, SDKs and third-party travel integrations, with customer and partner requirements carried through to production implementation.

See the case study

0 → productionAI, data, applications, APIs, integrations and infrastructure delivered end to end

Real usersConsumer and advisor workflows running against live supplier systems

Measured searchCandidate generation, ranking and shopping reduction measured with deterministic benchmarks

Barcelona

Local when the problem benefits from being in the room.

Enable FDE is based in Barcelona and works with teams across Spain, the UK and Europe. On-site discovery and working sessions are available in Barcelona; delivery can continue embedded remotely.

Forward deployed engineering in Barcelona

Start with the problem

Tell us what workflow should work better.

A useful first message is simple: what happens today, where it breaks, what systems are involved and what a successful result would change.

Discuss a deployment See engagement models