AI Implementation in Hackney
Augustova takes AI prototypes into production for £4,000 to £15,000 in one to three weeks, covering deployment, integration with existing systems, cost instrumentation with enforced spending ceilings, monitoring and the security and data protection work required before real customers touch it. We deliver this for businesses in Hackney and across East London.
How this usually starts in Hackney
Where an agency has built a prototype to win a pitch, production is the gap between that demo and something that survives real users.
Why Hackney businesses ask for this
Hackney has one of the highest densities of small creative, digital and hospitality businesses in London, centred on Shoreditch and running north through Dalston. Most are owner led, growing quickly, and running on tools that were each chosen individually rather than as a system.
Agencies here are asked for AI features by their clients constantly and rarely have anyone in house who can build them. We work as a white label partner so the agency keeps the relationship.
Sectors we work with in Hackney
What this covers
How it runs
What you receive
- ✓The prototype running as a service, on infrastructure you own
- ✓Integration with the systems your team already uses
- ✓Cost attributed per customer, per feature and per model, with ceilings enforced in real time
- ✓Monitoring and alerting, so failures are noticed before customers report them
- ✓A signed data processing agreement and a written security review
- ✓Handover to your own developers, working to their conventions
What this does not include
- ✗Rebuilding a prototype that should be replaced rather than promoted, which we say plainly
- ✗Taking ownership of a system we are not allowed to change
- ✗Compliance certification, which is an audit rather than an engineering job
Signs this is the right call
Something works in a notebook and there is no agreed route to customers touching it
Your AI bill moves and nobody can say which feature caused it
A pilot has been running for months with no date for production
Where projects like this go wrong
Promoting the prototype as it stands
Code written to prove an idea rarely survives contact with real load and real data. We review honestly, and if the right answer is to rebuild the pipeline rather than harden it, that is quoted openly rather than discovered later.
Limits nobody has tested
A spending cap that has never fired is an assumption. We trigger ceilings deliberately in production and watch them hold, because the alternative is finding out during a busy week.
Nobody owns it after launch
Pilots die when the excitement fades and no name is against the system. Handover names an owner, documents what changed, and leaves your developers able to maintain it without us.
Common questions
Our prototype works on a laptop. What does production actually require?
Integration with the systems people already use, cost that scales predictably with usage, monitoring so failures are noticed before customers report them, security and data protection review, and somebody accountable for it once the excitement fades. The prototype is usually the easy fifth of the work.
Can you stop our AI costs running away?
Yes. We attribute cost per customer, per feature and per model, route routine work to economical models, and enforce spending ceilings in real time. A limit nobody has watched stop something is an assumption, so we trigger it deliberately in production before relying on it.
Will you work alongside our existing developers?
Yes. Much of this work is integration into systems another team owns, so we work to their conventions, document what we change, and hand back something their developers can maintain without us.
What about GDPR and data protection?
A written data processing agreement is signed before any personal data moves, and we are registered with the Information Commissioner under reference ZC152144. Client systems sit on the client own provider accounts wherever possible so ownership is never ambiguous.
ai implementation for your Hackney business
Tell us what happens today and roughly when you need it changed. Close enough to meet in person.