- Slack
- Microsoft Teams
- Calendar
- Salesforce
- HubSpot
- Project management
- Internal APIs
Why agent deployments stall
In our experience the failure is rarely about the model.
It should never have been an agent.
An agent earns its place when the work needs fresh judgement on every pass and a person signs off at the end. When the answer has to come out the same way every time, that work wants ordinary code with a model doing the reading — and dressing it up as an agent is how you get a system that is impressive in the demo and unpredictable in production.
The workflow was never written down.
Whatever you build inherits the process you hand it. When the real steps live in one person’s head, it learns the gaps along with the work. Most stalled deployments trace back to a workflow nobody had mapped before the build started.
Nobody owns it after launch.
Tools get updated, APIs move, staff turn over, and the thing that worked in March quietly stops working in June. Nothing announces this. Without someone watching the output, the failure is silent and you find out from a customer.
It was never connected to anything.
Something that cannot read your CRM or write to your calendar is a chat window with extra steps. The work only changes when it can act inside the systems your team already uses.
What we actually do
Deciding what to build is the first half. The work that starts after the launch demo is the second, and both are what we sell.
We map the work before we build.
How the work happens today, who touches it, and what the exceptions are. Every step comes back with one of three answers: this should be an agent, this should be a deterministic pipeline, this should be left alone. You keep that document either way.
We build what the map says, not what sells.
An agent where judgement is needed every pass and a person approves the result. A pipeline where the model reads the input and ordinary code makes the decision — repeatable, auditable line by line. We build a lot of the second kind, even though “agent” is the easier thing to sell.
Every deployment has an owner.
Monitored in production. Drift, failed handoffs and silent errors get caught on our side, and the fix is our job rather than a ticket you have to file.
Our infrastructure or yours.
Dedicated servers with isolated data per client, or a fully on-premises deployment running local models where nothing leaves your network. Same method, same operating discipline. Where it runs is a deployment decision, not a different product.
Agents work where your team already works.
Slack, Teams, email, calendar, CRM, project management. Agents act inside the systems your team already works in, using credentials scoped to the task and revocable at any layer.
If your stack includes something unusual or internal, the audit is where we establish whether it is reachable.
Where it runs is your call.
Two deployments, one product. The choice is about where your data is allowed to go, not about what gets built.
Our infrastructure.
Dedicated servers with data isolated per client. We run them, watch them, and keep them current.
Britebot infrastructure
Yours.
A fully on-premises deployment running local models, where no request leaves your network. For organizations whose data cannot go to an external API.
Your network
Same method, same operating discipline. Where it runs is a deployment decision, not a different product.
Built for businesses that run on workflows
If it follows a process, there is an answer for it.
Staffing & recruiting.
Candidate sourcing, outreach sequences, interview scheduling, placement tracking. Some of it needs judgement on every candidate; most of it is the same five steps in the same order.
Agencies & creative firms.
Content calendars, client communications, project status, deliverable tracking. The operational work that eats your margins, handled without a person retyping it into a second system.
Professional services.
Client onboarding, appointment scheduling, follow-up sequences, document prep. The work your best people should not be spending their time on.
E-commerce & operations.
Product listings, customer inquiries, order coordination, inventory alerts. High volume and highly repeatable, which is usually a sign it wants a pipeline rather than an agent.
Not every workflow should be an agent.
Some work varies and crosses tools. Some is identical every time and only needs a pipeline. Some should stay a judgement call. Sorting your work into those three is the first thing the audit does.
How an engagement runs
Four steps, in this order, every time.
Common questions
Newsletter
Agents at Work
A weekly read on what actually happens when companies put agents into production — what shipped, what broke, and what you can go try yourself.
Read the newsletterStart with the audit.
A working session on your operations and a written map of where agents would hold. You keep it either way.