Get incoming work to the right person.
Classify enquiries, prepare a response and route the cases that need human judgement.
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.
Start where work gets stuck. These are example starting points, not claimed customer results. We confirm the fit against your data, systems and goals.
Classify enquiries, prepare a response and route the cases that need human judgement.
Extract information, compare it with your records and send discrepancies for review.
Help staff find the information they need, with source references and clear access boundaries.
Need to choose the work, add engineering capacity, or deliver a defined project? Start with the option that matches your situation.
Best for: choosing where to invest first.
A focused engagement to choose one workflow, assess the data and risks, and decide whether to build.
Best for: a team ready to build and iterate.
A senior AI engineer joins your team to build, integrate and test the workflow inside your approved environment.
Best for: a defined outcome and known dependencies.
A scoped production build with an agreed price, deliverables and acceptance criteria before implementation starts.
Not sure which fits? Tell us about the workflow. We will start there.
The people defining the work stay accountable through delivery. Each stage leaves you with something you can inspect and use.
Map the workflow, record its current performance and agree the result, cost limit and person accountable for it.
Connect to approved data and systems. Test representative work and known failure cases before asking people to rely on it.
Put monitoring, human escalation and rollback in place. Hand over the system and the knowledge to run and improve it.
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 frameworksPublished in full, without an email gate. These documents demonstrate our method, not customer outcomes.
Practical methods for evaluating, releasing and owning an AI system.
Explore the framework library →The engagement, the controls and what happens when the evidence says no.
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.
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.
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.
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.
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.
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.
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.
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.
Bring one workflow, a stalled pilot or a question about where to start. You do not need a finished technical brief.
No commitment to a paid project.
This is an enquiry, not a sprint booking.
Prefer email? dev@alpha-ai.dev