Private operator
An assistant that lives in your channels with only the skills and access you approve. Good first agent for a small team.
AI agent builds
Most agent projects stall after the demo, because the demo was never the hard part. We start from a proven agent and spend the hours on the part that makes it useful: your workflow, your data, your permissions, and the failure cases.
This is our planned use of the hours, not an average of past builds. The model and the prompt are the small part. Connecting it to real systems and proving it behaves is where the time goes.
Each of these already works. What it does not know is your business. That is what you are paying us to teach it.
An assistant that lives in your channels with only the skills and access you approve. Good first agent for a small team.
Qualifies, enriches, routes, updates the record, and follows up. Sits on top of Keap, HubSpot, or your own pipeline.
Answers from sources you approve, says so when it does not know, and hands off to a person with the thread intact.
A job none of the above fits. We scope it in the kickoff and build it on the same footing as the rest.
Five things separate an agent you show people from one your team actually uses. We build all five, and we tell you before we start which are hard in your setup.
Deciding what the agent owns end to end, and what it must hand to a person. Vague scope is why agents get abandoned.
Real reads and writes into your CRM, database, inbox, or ticket system, with the edge cases your data actually contains.
What it may see, what it may change, what needs approval first. Logged, scoped, and reversible.
What happens when it does not know, when a system is down, or when the answer would be wrong. Handled, not hidden.
Run against real examples before launch, so you see the hit rate rather than taking our word for it.
The price
Prebuilt Agent Launch
A proven agent starting point, deployed securely and configured for your business.
Best for: A focused assistant or operator with one channel and a clear first job.
Agent + Custom Workflow
A working agent connected to one real workflow and one business system.
Best for: A team that already knows the workflow it wants to improve.
Custom Agent Discovery
Architecture and a build plan for a custom, higher-stakes, or multi-system agent.
Best for: A complex idea that needs a safe architecture and a clear estimate first.
Hosting and model usage are billed to you directly.
Questions
Whichever fits the job and your constraints. We recommend one after the kickoff, and we build so you can change it later without rewriting the agent.
Not through anything we set up. We use API access with training turned off, keep your data in your own systems where we can, and tell you plainly what leaves your network.
Hosting and model usage, billed to you directly. We estimate the monthly range during the kickoff so you can decide before we build.
We build the agent to say when it does not know and to hand off to a person. Before launch we run it against real examples and show you where it fails.
It can act, with limits you set. Writes to your systems are scoped, logged, and reversible, and anything risky asks a person first.
You do. The code, the prompts, and the configuration are yours, in your repositories and your accounts.
Practical automation · 4 min read
Still copying customer details between apps or chasing the same updates? Learn how to pick one task, decide whether it needs AI, and check that it saves time.
A practical guide from WeNeedADev