Who builds and runs the AI agents: Blits.ai or our own team?

The Blits.ai team, by default: we refine the use case with you in a workshop, build it on the platform, integrate it with your systems and apps, deploy it where you want it and run and improve it for as long as it is live. Your own team can take over any of those steps; the platform is built for it.

How long does it take to go live?

A Basic setup is live in days; enterprise deployments typically take four to eight weeks. We show a working demo before you commit, and the next use case reuses what the first one built.

Does Blits.ai integrate with our core systems and our mobile app?

Yes. Use cases connect to core systems, CRM and back office through the 100+ integrations, the REST and WebSocket API and custom functions, and run inside your own mobile app and website through the webview and API channels, with your existing login.

Can Blits.ai build and run AI agents on premises?

Yes. The team deploys in our managed cloud in six regions, in your private cloud, in your own data center or in an air gapped environment, and either hands over to your operations team or runs it for you.

Is Blits.ai a platform or a consultancy?

Both, by design. Blits.ai builds and runs every use case on its own certified platform, so you get one accountable party and a platform that is reused for every next use case.

How we work: from use case to production

Blits.ai is the enterprise AI platform and the team that delivers on it: we refine the use case with you in a workshop, build and integrate it with your systems and apps, deploy it in the cloud or on premises, and run and improve it for as long as it is live.

You buy a working use case, not a license to build one. A Basic setup is live in days. Enterprise deployments typically take four to eight weeks.

Updated October 21, 2026

Five steps, one team

Workshop
Optional: one or two days to refine the use case, with its value and risk tier.
Demo
A working demo of your use case on the platform, before you commit.
Build and integrate
We build it on the platform and connect it to your systems and your own app.
Deploy
In our managed cloud, your private cloud, on premises or air gapped. Live in weeks.
Run and improve
Support, monitoring and model updates for as long as it is live.

1. Workshop

What we do

In an optional workshop of one or two days, usually the first step of a project, we refine the use case with your business owner, IT and compliance: scope, channels, systems, data, risks and what success looks like. We bring the AI Use Case Library: what comparable organizations run in production and what they report.

What you do

Bring the people who own the process, the systems and the risk, and the questions you want answered.

What is finished

A report and a roadmap: the use case defined, its indicative value for an organization of your size, its risk tier under the regulation that applies in your market, from the EU AI Act to your own regulator's rules, and the controls it needs, and the plan to go live.

The AI use case workshop →

2. Demo

What we do

We build a working demo of your use case on the platform, with your content and in your language, and show it running before you commit to the project.

What you do

Give us the content and the examples that make the demo real: your products, your policies, your typical conversations.

What is finished

A demo you can click through and talk to, and a clear view of what the production version will do.

Book a demo →

3. Build and integrate

What we do

The Blits.ai team builds the use case on the platform: the agents, the knowledge base, the guardrails and the channels. We connect it to your systems through the 100+ integrations, the REST and WebSocket API and custom functions, and bring it into your own mobile app and website. Automated test suites run before every release.

What you do

Give access to the systems and data the use case needs, and review the conversations with us.

What is finished

A tested use case, connected to your systems, ready for deployment.

Implementation and integration →

4. Deploy

What we do

We deploy where your security and compliance teams want it: our managed cloud in six regions, your private cloud, your own data center or an air gapped environment. We install, harden and hand over to your teams, on site where needed, or run it for you.

What you do

Decide where the data lives and who runs the infrastructure, and give us the environment.

What is finished

The use case live in production. A Basic setup is live in days; enterprise deployments typically take four to eight weeks.

Deployment options →

5. Run and improve

What we do

For as long as the use case is live, under the SLA of your plan: monitoring, support within your support window (24/7 on the Gold level), model updates when providers change or retire models, and ongoing improvement on real conversations.

What you do

Share what customers and staff say about it; the next use case reuses what is already built.

What is finished

A use case that keeps working as models, channels and your organization change.

Reliability and SLA →

Platform plus team

Three kinds of companies offer enterprise AI agents. A platform vendor licenses the software and leaves the implementation to you or a partner. A consultancy implements on a platform it does not own. Blits.ai does both, which changes what you get.

The next use case is faster

What we build for the first use case, the agents, integrations, channels and guardrails, is reused for the next one on the same platform. Nothing starts from zero.

One party is accountable

Platform, build, deployment and support come from the same team, under one certified operation: ISO 27001, ISO 42001, SOC 2 Type II and PCI DSS Level 1.

Evidence, not opinion

The AI Use Case Library tells us what comparable organizations run in production and what they report, so the workshop starts from what works.

What we build

Every sector page shows the use cases we build for it and how we build them on the platform, backed by the AI Use Case Library of 302 documented use cases with real deployments and their results.