Why value stalls
Value stalls when the model, operating process, data, permissions, human decisions, economics, and ownership remain disconnected.
Forward Deployed AI Engineers
Make AI earn its place in the P&L.
Senior engineers embed to ship one consequential workflow into governed production, then hand over the code, evaluations, runbooks and operating knowledge.
74%
of 1,000 companies surveyed by BCG had not shown tangible value from AI.
62%
of reported AI value was concentrated in core business functions.
~70%
of implementation challenges came from people and process, not algorithms.
BCG, 2024
AI Adoption in 2024. Survey of 1,000 senior executives across 20 sectors and 59 countries in Asia, Europe, and North America.
The production gap
Access to AI is no longer the main constraint. Execution is.
What Alpha AI changes
Alpha AI brings those parts together around one important use case and one accountable business owner. The goal is not another demonstration. It is a defensible decision about whether the system should deploy, change, or stop.
The forward-deployed difference
The people defining the work stay accountable for making it work.
Consulting can recommend the change. Staff augmentation can complete assigned tickets. Alpha AI owns the path from the operating baseline to a capability your team can run.
Baseline
Find the constraint and record the current operating and financial measures.
Define
Set the intended result, control boundary, acceptance criteria, and accountable owner.
Build
Connect the solution to real systems, data, permissions, interfaces, and business rules.
Prove
Test representative work and known exceptions against the agreed requirements.
Operate
Release with human authority, monitoring, escalation, incident response, and rollback.
Transfer
Hand over code, evaluations, runbooks, cost model, documentation, and operating knowledge.
Baseline. Define. Build. Prove. Operate.
Transfer / your team owns the capability
One production gate
Four requirements. One decision.
The system advances only when the business case, quality, safety, and complete economics hold together.
Business value
Does the change improve a measure tied to revenue, margin, capacity, service, or risk?
Reliable quality
Does it perform consistently on representative work and known exceptions?
Proportionate safety
Are access, human authority, monitoring, escalation, incident response, and rollback appropriate for the consequences of failure?
Sustainable economics
Does the measured benefit justify the complete cost of engineering, integration, models, infrastructure, evaluation, human review, support, and ownership?
Deploy. Revise. Stop.
Proof you can inspect
No invented case studies. No result claimed before it is measured.
Until approved customer cases are available, every engagement creates an inspectable proof record. This is process proof, not a promise made before the work begins.
W01 / Baseline
Measures recorded
W03 / Requirements
Four gates agreed
W06 / Evaluation
Exceptions tested
W09 / Operate
Controls observed
W12 / Decision
Evidence complete
| Proof element | What you receive |
|---|---|
| Baseline | Current volume, cycle time, labor, errors, conversion, loss, service level, and operating cost relevant to the selected use case. |
| Requirements | The agreed business, quality, safety, and total-cost bar. |
| Evidence sources | System records, evaluation cases, operator review, telemetry, cost records, and documented assumptions. |
| Measurement period | The defined period used to compare the new approach with the baseline. |
| Decision record | Results, limitations, unresolved risks, and the basis for deploy, revise, or stop. |
| Ownership package | Code, evaluations, runbooks, monitoring, cost model, decision history, and operating documentation. |
The advantage
The AI is not the advantage. Your ability to improve the work repeatedly is.
Shorter cycles can create capacity and speed to customer. Better decisions can protect revenue and reduce loss. Lower error and review burdens can improve margin.
Increase capacity
Improve cycle time and create more room for valuable work.
Protect revenue
Use better decisions to reduce loss and improve speed to customer.
Improve margin
Lower error, review, and rework burdens where the evidence supports it.
Keep the capability
Alpha AI transfers the assets and knowledge behind the result, so your team can operate, inspect, and extend what works without permanent dependence on us.
Engagements
Start with a bounded decision, then build only when the case holds.
Production Opportunity Sprint
Best for: leaders choosing where to make the first serious investment.
A focused engagement that establishes whether one core use case has a credible path to production value.
- Selected use case and accountable owner
- Operating and financial baseline
- Value hypothesis
- Data, risk, and human-authority boundary
- Business, quality, safety, and total-cost requirements
- Evidence sources and measurement plan
- Deploy, revise, or stop criteria
- Scoped production plan when justified
You receive a Production Opportunity Brief
Embedded Forward-Deployed Engineer
Best for: teams ready to build and operate inside the real environment.
A senior AI engineer works directly with business owners, operators, security, and technical teams from implementation through transfer.
$150 per hour with visible weekly progress
Fixed-Price Production Build
Best for: work with a defined outcome, known dependencies, clear client responsibilities, and agreed acceptance criteria.
Fixed pricing provides budget certainty once the scope is understood. It is not used to hide uncertainty discovered during delivery.
Fixed quote once scope is understood
Common questions
Direct answers before we start.
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 with a bounded decision
Improve the work. Prove the case. Keep the capability.
Bring one important use case. Leave the first engagement with a Production Opportunity Brief and a defensible decision.
One engineer. One accountable owner. One proof record.