AI Deployment Program · For larger teams

AI Deployment Program for established companies

AI running in production inside your business, with a team accountable for it.

From AI customer support to custom models, we design, build and run AI systems for established companies.

No public starting price: it's scoped to your team and how much AI you run in production.

Monthly health reportExample
Uptime
Errors
AI usage
Who it's for

Established companies, putting AI to work

For mid-size and larger companies bringing AI into how they already work, in places where a wrong answer, a leaked record or a surprise bill matters: hospitals, banks and other established businesses. The program covers the whole path, from deciding what to build to keeping it running and accountable after launch.

Industries we've delivered in
  • Legal & professional services
  • Media & content
  • Logistics & inventory
  • Government & public sector
  • Healthcare
  • SaaS & internal tools
  • Education

What the program covers

  • Your AI use case and architecture agreed in a Blueprint: data model, integrations, AI models and retrieval, hosting and a cost estimate
  • Built to the Blueprint, at a fixed scope agreed in writing
  • The right model for each task, with limits and monitoring in place
  • Monitoring for errors, downtime and AI cost spikes
  • A monthly health report and safe changes, one request at a time
  • Your cloud or ours
  • Your code and accounts, from day one
Accountable

Signed off by a TechTose architect.

Agents do the work. A person is accountable for it. Before anything reaches you, a TechTose architect checks:

  • Every Scan finding and its severity
  • The Blueprint's data model, security and hosting decisions
  • Each change before it ships
  • The monthly health report

Agents speed up the work. They don't make the decisions. A TechTose architect reviews every finding, plan and change before it reaches you.

How it runs

Scan. Blueprint. Build. Run.

The same pipeline as every TechTose product, scoped to your business. Each step ends with a TechTose architect's sign-off.

  1. 01

    Scan

    We review your app, code or idea and send a written report.

    Signed off by a TechTose architect.
  2. 02

    Blueprint

    Your architecture decided and agreed: data model, backend, logins and roles, integrations, AI setup, hosting.

    Signed off by a TechTose architect.
  3. 03

    Build

    Built to the Blueprint, at a fixed scope agreed in writing.

    Signed off by a TechTose architect.
  4. 04

    Run

    Monitored, maintained and improved after launch.

    Signed off by a TechTose architect.

The agents that do the groundwork

ScoutMaps a codebase or idea and drafts the Scan reportPlannerTurns findings into architecture, scope and estimateBuilderWrites code to the agreed BlueprintCheckerTests every changeGuardFinds security gaps and exposed secretsKeeperWatches live apps for errors, downtime and AI cost spikes
Confidential by default

How we handle confidential work

  • We sign your NDA before you share code, data or plans.
  • Your code and accounts are yours. We work inside them, and our access ends when the work does.
  • We never name a client, product or person publicly without written permission.
  • We describe the work, not the client, as we have on this page.
Related work

AI and data systems running in production

US healthcare data company · HealthcareCompleted

Building the core MVP of a healthcare data platform

TechTose built the core MVP of a unified data platform for a US healthcare data company, from the front end to the data lake, so hospital patient-record pipelines stay reliable.

UK AI company · SaaS & internal toolsCompleted

Real-time AI video avatar on Azure, then self-hosted on GPUs

TechTose built a real-time AI video avatar for a UK company: Azure speech and OpenAI with answers from its own knowledge, rendered by D-ID in around 2–3 seconds, then a self-hosted avatar on RunPod GPU servers.

See all our work
Related reading

Guides for teams adopting AI

AI Deployment Program: questions

How is the AI Deployment Program priced?

It's scoped to your team and how much AI you're running in production, so there's no public starting price. Talk to us and we'll scope it with you.

Can it run on our own cloud?

Yes: your cloud or ours.

Do you sign an NDA?

Yes. We sign your NDA before you share code, data or plans, and we never name a client, product or person publicly without written permission.

Who owns the code and accounts?

You do, from day one. We work inside your accounts, and our access ends when the work does.

Which AI providers do you work with?

The providers your business already uses. Model choice is made per task, whichever provider that is.

Do you bill by the hour?

No. Every engagement has a fixed scope and price agreed in writing.

Is the AI our agents use billed on top?

No. The time and AI our agents use to build is inside the fixed price. It never shows up as a separate line or a usage bill from us.

Is our data used to train AI models?

No. Your data stays yours. We set up AI providers on business or enterprise terms where your inputs aren't used for model training, turn off data retention wherever the provider allows it, and document which providers and settings are used, so your security team can review them.

Can you work with regulated data (HIPAA, GDPR, financial data)?

Yes, and we design for it from the start. That means keeping data in the region you need (for example EU or UAE hosting), using providers that offer the agreements your regulator expects (such as a BAA for HIPAA or a DPA for GDPR), keeping personal data out of prompts where it isn't needed, and putting role-based access and audit logs on every AI action. We work within your compliance and security team's requirements. Certification stays with your organisation and your auditors.

Bring AI into production, with a team accountable for it.