Agents that act inside your tools — not chatbots that talk about them.
Multi-step agents that read, decide, and write back into the systems you already run. From inbox triage to CRM updates to ops workflows, the agent handles the steps and escalates only when judgment is needed.
- Typical pilot
- 4–8 weeks
- Pricing model
- Fixed scope, fixed price
- Coverage
- USA · UK · Remote-first
- NDA available
- Yes
Tell us one thing. See ai agents run.
Add a couple of details, get a personalized result and a live look at the system — then we carry everything into a tailored plan, no retyping.
Before you talk to us, see what ai agents is costing you.
Adjust the sliders. The number on the right is what staying manual costs in a year. Conservative math, defensible assumptions — no signup to see the result.
Agent Hours Reclaim
How many hours a week does your team spend on repetitive multi-step work — across inbox, CRM, and ops — that an agent could handle?
Across inbox triage, CRM updates, reporting pulls, ticket routing, order reconciliation.
Adjust the sliders. The number on the right is the cost of staying manual.
Conservative math, defensible assumptions. No signup to see the result.
Skip the audit. Book a 15-minute scoping call.
What's actually painful about ai agents today.
Most automation stops at the easy stuff. The work that actually moves the needle — triaging an inbox, qualifying a lead, reconciling an order, escalating an exception — involves judgment across multiple steps and multiple tools.
Until recently, you needed a person for that. Today you can have an agent that does the steps, makes the routine decisions, and only escalates when judgment is actually needed.
What staying manual actually costs.
- 01Hours per week the team spends on ai agents work that could run itself12–25Mid-sized teams routinely bleed a full-time role to manual coordination in this area.
- 02How long it takes for a new ai agents initiative to compound8–16 wksBecause every change has to be done by hand, then redone by hand next quarter.
- 03Share of ai agents decisions that depend on one person being available60%+When they're on PTO or sick, the work doesn't just slow — it stalls.
What changes once the system runs.
Here's the system that runs ai agents end to end.
- 01Pick the workflow
We start with the highest-volume multi-step workflow where errors are tolerable and time savings compound.
pending - 02Wire the tools
The agent is given access to the systems it needs — read and write — with permissions you control.
pending - 03Define guardrails
Routine decisions are the agent's; anything outside the playbook escalates to a human with full context.
pending - 04Iterate
We watch the first weeks of decisions together, tune the prompts and rules, and only then hand it off to run autonomously.
pending
Map a workflow you actually run. See what it costs.
Drag the steps into the order your team actually does them. We show you the hours and dollars the manual version costs — and exactly which steps the system takes off your plate.
Reorder the steps. See what your manual workflow actually costs.
Most teams don't know where the time goes. Drag the steps into the order they actually run — even rough is fine — and we'll show you what the workflow costs in hours and dollars today.
- 01~8mIntakeReceive the work — form, email, ticket, referral.
- 02~12mTriageSort by type, urgency, and who it should land with.
- 03~15mGather contextPull the relevant history, customer, and prior decisions.
- 04~10mDecideApply the rule and pick the next step.
- 05~6mActSend the email, update the record, kick off the next step.
- 06~5mFollow upConfirm, remind, escalate if nothing happened.
Principles
- 01
Outcome, not output
We measure success by hours reclaimed, deals closed, errors removed — not by tickets filed.
- 02
Boring over clever
We pick the most boring, durable technology that solves the problem. Cleverness is a liability.
- 03
Fixed price, fixed scope
No open-ended retainers. Every engagement ships with a one-page scope you can hold us to.
- 04
Build to hand off
We document, train, and hand over. The system is yours to run, modify, or extend without us.
AI Agents in 8 metros — and counting.
A chatbot talks. An agent acts — reads from tools, makes routine decisions, writes back, and escalates when it shouldn't proceed. Different architecture, different outcome.
We build agents on current reasoning models, with tool-use, memory, and human-in-the-loop escalation — running on infrastructure you control.
Stack details shared during scoping, under NDA.
Ready to automate ai agents?
Run the audit above, or book a 15-minute scoping call. We'll send back a one-page scope in 48 hours.
Response time
≤ 4 business hours
Coverage
USA · UK · EU
Team
10 engineers · 1 PM