Connects to the tools your team already uses.
Why agent deployments stall
In our experience the failure is rarely about the model.
It should never have been an agent.
Agents earn their place on judgement calls. Work that has to come out the same way every time wants ordinary code with a model doing the reading, not an agent playing dress-up.
The workflow was never written down.
When the real steps live in one person’s head, the build inherits the gaps along with the work.
Nobody owns it after launch.
Tools update, APIs move, staff turn over. Without someone watching the output, the failure is silent until a customer finds it.
It was never connected to anything.
Something that cannot read your CRM or write to your calendar is a chat window with extra steps.
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.
Every step comes back with one of three answers — agent, deterministic pipeline, or leave it alone. You keep the document either way.
We build what the map says, not what sells.
We build a lot of deterministic pipelines, even though “agent” is the easier thing to sell.
Every deployment has an owner.
Monitored in production. Drift and silent errors get caught on our side, not filed as a ticket on yours.
Our infrastructure or yours.
Dedicated servers with isolated data, or fully on-premises running local models. Same method either way.
Agents work where your team already works.
Agents act inside the systems your team already works in — chat, mail, calendar, CRM — using credentials scoped to the task and revocable at any layer.
Slack
Microsoft Teams
Gmail
Google Calendar
Salesforce
HubSpot
Linear
Notion
Mailchimp
StripeWhere 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
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.
Frequently Asked 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.