Forward Deployed AI Engineers

Put AI to work in your business.

We are an AI implementation team. Senior engineers embed with yours to build, integrate and ship one production AI system — then hand you the code, the evaluations and the knowledge to run it.

$150 per hour (USD), or a fixed quote after scoping.

$150 per hour (USD)Or a fixed quote for a defined scope.
Your team owns the codeHandover is included, not an add-on.
Cape Town. Working globally.Senior engineers embedded with your team.
What we can help you change

Less manual work.
More room for your team.

Start where work gets stuck. These are example starting points, not claimed customer results. We confirm the fit against your data, systems and goals.

Customer operations

Get incoming work to the right person.

Classify enquiries, prepare a response and route the cases that need human judgement.

Measure: response time, resolution quality and review effort.
Documents & operations

Stop rekeying the same information.

Extract information, compare it with your records and send discrepancies for review.

Measure: processing time, errors and rework.
Internal knowledge

Find answers in approved sources.

Help staff find the information they need, with source references and clear access boundaries.

Measure: answer quality, source support and time spent searching.
A clear way to start

The right engagement
for the work ahead.

Need to choose the work, add engineering capacity, or deliver a defined project? Start with the option that matches your situation.

Our approach

Built with your team.
Made to stay with your team.

The people defining the work stay accountable through delivery. Each stage leaves you with something you can inspect and use.

01 / Baseline + define

Agree what better means.

Map the workflow, record its current performance and agree the result, cost limit and person accountable for it.

You receiveA scoped brief and measurable acceptance criteria.
02 / Build + prove

Build in the real environment.

Connect to approved data and systems. Test representative work and known failure cases before asking people to rely on it.

You receiveWorking code, evaluation results and a release decision.
03 / Operate + transfer

Launch with a way back.

Put monitoring, human escalation and rollback in place. Hand over the system and the knowledge to run and improve it.

You receiveRunbooks, a cost model, documentation and team handover.
An inspectable standard

Evidence before release.
Ownership after.

Agree the thresholds before the build, then judge the system against them. If a requirement fails, revise or stop rather than quietly lowering the bar.

Read our published frameworks

Published in full, without an email gate. These documents demonstrate our method, not customer outcomes.

Business value
Compare the agreed target with the operating baseline. Record the measurement period, evidence and limits.
Reliable quality
Meet the agreed pass thresholds on representative work, including known exceptions and failure cases.
Appropriate controls
Demonstrate approved data access, human decision authority, escalation, monitoring and rollback.
Complete economics
Include engineering, model use, infrastructure, human review and ongoing operation in the cost decision.
Deploy when the gates hold Revise when they do not Stop if the case fails
Before we start

Clear answers.
No fine-print surprises.

The engagement, the controls and what happens when the evidence says no.

What is a forward-deployed AI engineer?

A senior engineer who works with the people responsible for the business process, builds inside the approved environment, and remains accountable through evaluation, release, operation, and transfer. It is not an advice-only role or a queue of disconnected technical tickets.

How do you choose the first use case?

We look for an important constraint with an accountable owner, accessible evidence, a measurable baseline, and a result that can affect revenue, margin, capacity, service, or risk. If the value cannot be measured credibly, it is not ready for investment.

How do you manage safety?

We define approved data access, human decision authority, known failure consequences, representative evaluation cases, monitoring, escalation, incident response, rollback, and accountable ownership before release. Controls are proportionate to the use case and do not imply unverified regulatory compliance.

How do you control cost?

We compare measured benefit with the complete cost of discovery, engineering, integration, models, infrastructure, data, evaluation, security, human review, support, failure, and ongoing ownership. Model routing, caching, batching, and smaller models are considered after quality and safety requirements are met.

What happens if the case does not hold?

We recommend revise or stop. The purpose of the sprint and proof record is to support a sound investment decision, not to force every idea into a build.

Will we depend on Alpha AI permanently?

No. Transfer is part of the delivery path. Your team receives the code, evaluations, runbooks, monitoring approach, cost model, documentation, and decision history needed to operate and extend the capability.

Do you offer fixed pricing?

Yes, after the intended outcome, dependencies, responsibilities, and acceptance criteria are understood. Embedded engineering is available at $150 per hour when the work requires continued discovery and iteration.

Where is Alpha AI based?

Alpha AI is based in Cape Town and works with clients globally. Contracting, working-hour overlap, environment access, security, and data-location requirements are confirmed before an engagement begins.

Start a conversation

What is slowing
your team down?

Bring one workflow, a stalled pilot or a question about where to start. You do not need a finished technical brief.

  1. Tell us what you want to improve.
  2. We review the fit and reply to your email.
  3. We agree the scope before any paid work.

No commitment to a paid project.
This is an enquiry, not a sprint booking.

Prefer email? dev@alpha-ai.dev

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