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AI Agents

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 to 8 weeks
Pricing model
Fixed scope, fixed price
Coverage
USA · UK · Remote-first
NDA available
Yes
In short

What is AI agent development?

AI agent development is the practice of building software agents that use a language model to carry out multi-step tasks autonomously, reading from your systems, deciding, and taking actions like updating a CRM or routing a ticket, escalating to a human only when judgment is needed.

Unlike a chatbot that replies and stops, an agent has tools, memory, and a defined scope of action. AI agent development for operations means mapping the workflow, granting permissioned access to the systems involved (CRM, inbox, help desk, ERP), encoding the decision rules, and building a human-in-the-loop escalation path. Typical deployments handle inbox triage, lead qualification, CRM updates, and ops reconciliation, work that previously needed a person watching it happen. In practice a single well-scoped agent can absorb dozens of routine decisions a day, freeing the team to handle only the cases that genuinely need judgment.

Get your free plan

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.

Run the numbers first

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.

Already know what you need?

Skip the audit. Book a 15-minute scoping call.

Book a scoping callSee case studies
The problem

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.

The cost of standing still

What staying manual actually costs.

  • 01Hours per week the team spends on ai agents work that could run itself12 to 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 to 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's possible now

What changes once the system runs.

01
Repetitive multi-step work handled end to end, not just one piece at a time
02
Agents that read from and write back to the systems you already run
03
Routine decisions made consistently and quickly; edge cases escalated with full context
04
Hours of ops work reclaimed every week, across inbox, CRM, ops, and support
05
A system you can hand off and own, not a black box that disappears when we do
The system we buildPrescribe

Here's the system that runs ai agents end to end.

Every ai agents engagement builds the same four-stage system, adapted to your operation. Press Run the system below to watch one piece of work move through every step.
The system · live run
  1. 01
    Pick the workflow

    We start with the highest-volume multi-step workflow where errors are tolerable and time savings compound.

    pending
  2. 02
    Wire the tools

    The agent is given access to the systems it needs, read and write, with permissions you control.

    pending
  3. 03
    Define guardrails

    Routine decisions are the agent's; anything outside the playbook escalates to a human with full context.

    pending
  4. 04
    Iterate

    We watch the first weeks of decisions together, tune the prompts and rules, and only then hand it off to run autonomously.

    pending
token
complete
Try it on your workflow

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.

Related case studiesAll case studies
What we believe

Principles

  1. 01

    Outcome, not output

    We measure success by hours reclaimed, deals closed, errors removed, not by tickets filed.

  2. 02

    Boring over clever

    We pick the most boring, durable technology that solves the problem. Cleverness is a liability.

  3. 03

    Fixed price, fixed scope

    No open-ended retainers. Every engagement ships with a one-page scope you can hold us to.

  4. 04

    Build to hand off

    We document, train, and hand over. The system is yours to run, modify, or extend without us.

Where we work

AI Agents in 8 metros, and counting.

New YorkUSAAustinUSAChicagoUSAMiamiUSALondonUKManchesterUKBirminghamUKLeedsUK
Questions

  • 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.

How it works

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.

≤ 4 hrs
Avg response
EN · ES · UR · HI
Languages
USA · UK · EU
Coverage
Full ET/GMT
Time overlap
Fixed scope
Engagement
Standard + mutual
NDA
Working with us
Go deeper
Buyer's Guide · Blog

Custom AI Development: When to Build Custom vs Buy Off the Shelf

When should you build custom AI instead of buying a tool? Here is what custom AI development involves, when it pays off, and how to scope it.

Read the articleBuyer's Guide · Blog

AI Integration Services: Connecting AI to the Tools You Already Use

AI only pays off when it is wired into the tools you already run. Here is what AI integration services do and how to scope them.

Read the article
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Next step

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