AI Agents
Production agents that run one workflow end to end, with a receipt for every run.
Your agent core
Your agent core
3 options
Packages
Pick one to start. We can resize or combine later if the work calls for it.
Starter Agent
Businesses needing one focused production agent
2-3 weeks
- Single-purpose agent (intake, FAQ, scheduling)
- Connection to 1-2 data sources/tools
- Deployment and launch support
- Testing and refinement
Pro Agent
Teams requiring multi-step reasoning and integrations
4-6 weeks
- Multi-tool AI agent
- Knowledge base ingestion and retrieval
- Automation triggers and guardrails
- Analytics dashboard
Agent System
Businesses scaling AI across multiple workflows
6-10 weeks
- Multi-agent orchestration
- Cross-platform data pipelines
- Human-in-the-loop approval workflows
- Ongoing tuning and advisory option
What this solves
- 01Intake, FAQ, or scheduling work eating skilled hours
- 02Off-the-shelf chatbots that cannot touch your systems
- 03No governed architecture for AI agents
Three layers, one agent stack.
Anatomy
Three layers, one agent stack.
Every agent we ship is a combination of a model, an ability layer, and the surface it runs on.
- Model
- Claude, GPT, Gemini, and local open-source weights. The brain. We pick per job and keep the cost curve honest with caching and batching.
- Ability
- Retrieval, memory, tool use, computer use, voice, and vision. The body. What the agent can read, recall, call, operate, hear, and see inside a bounded loop.
- Surface
- Web, MCP servers, email, phone, CRM, and Notion. The environment. Where the agent meets your customers, your team, and your systems of record.
What you get
How the engagement runs
Click any phase to see what ships
Proof
- Agent systems with explicit escalation rules
- Training frameworks that reduce AI misuse
Shipped with this service
What the work looks like
3 artifacts
Common questions
What makes this different from a chatbot?
A chatbot answers questions. An agent does work: it reads the request, calls your tools, writes the result into your system of record, and logs every step. You can open any run and see exactly what it did.
Which workflows make good first agents?
One workflow with a clean input and a clean output. Intake, FAQ triage, scheduling, quote prep, and document processing are common starts. If the inputs are messy, we fix the inputs first.
What happens when the agent is unsure?
It escalates. Every agent ships with escalation rules, rate limits, and a budget. When a run crosses a line, a human gets the handoff with full context.
Do we need our own AI subscriptions first?
No. Agents run on API access we stand up under your accounts, so you own the keys and the data. We pick the model per job and show you the cost curve.
Can it work with our existing tools?
That is the point. Agents connect to your CRM, inbox, calendar, and internal systems through tools we wire up per engagement. If a system has an API, it can usually join the loop.
Ready to scope ai agents?
Thirty-minute working call. You leave with a direction, fit or not.