Your customer signed. Their AI agent should be live.

Staila takes go-lives off your team's plate. We sit with your customer, set the agent up on their process, and stay until their people use it every day.

Tell us about your next go-live

Where go-lives stall

The product works. The weeks go somewhere else.

Access and permissions

The connector needs an admin on the customer side, and nobody owns the ticket.

Data and integrations

Knowledge bases, CRMs and old systems need cleaning before the agent can answer well.

No owner at the customer

The buyer signed, then moved on. Nobody runs the rollout inside their team.

Your engineers pulled in

Every new customer takes a builder off the roadmap for a month.

How it works

Three steps. Start with one customer and see how it goes.

Step 1

Go-live diagnostic

One to two weeks. We review your onboarding and one signed customer, and show exactly where the go-live will stall and what it costs you.

Step 2

Go-live sprint

Four to six weeks per customer. We take one customer from kickoff to live, on your process and under your name if you prefer.

Step 3

Go-live support

Monthly. A weekly go-live report, agent tuning as their work changes, and new use cases once the first one sticks.

Fixed price for each step, quoted on request.

The weekly go-live report

What your customer success team gets every week, ready to forward.

Sample layout
Conversations the agent closed on its owncount
Handed back to people, and whytop 3 reasons
Open blockers and who owns themlist
Next step to full useone line

Work we have shipped

Real projects. Names left out.

Answers from live data

A B2B SaaS company of about 100 to 200 people. Operators ask questions in plain language, an agent queries BigQuery through MCP. Limits and retries keep it working on heavy queries.

From trying ChatGPT to daily work

A tech company of several hundred people. Over nine months, 600+ people moved to approved AI tools they use every day, with training, rules and team goals.

Rules before tools

A SaaS company of several hundred people. AI use policy, DPIA, incident process and sign-offs, approved by HR before rollout.

Also for your customers' security reviews

Bigger customers now ask which AI features you run and how you control them. We put together that list and the answers, so the questionnaire does not hold the deal.

Who is behind Staila

Staila is led by a former AI product lead at Intercom who has put more than five AI agents into production with real users.

Tell us about your next go-live

Which customer, which agent, and what is holding it. We reply within one working day.

hello@staila.app