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AI Agent Development

Agents that hold up in production.

We are an AI agent development company that runs its own agent fleet every day. Custom AI agents built one bounded workflow at a time, at a fixed price, with a written success metric and a kill threshold agreed before anything gets built.

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The short version

Most agent projects fail before the build.

Gartner expects over 40 percent of agentic AI projects to be canceled by the end of 2027, and names the causes: escalating costs, unclear business value, and inadequate risk controls. Not one of those is a modelling problem. They are scoping, measurement, and governance problems, and they are all decided in the first two weeks.

So that is where we spend the first two weeks. One bounded workflow instead of a platform. One number that defines success and one person who measures it. A threshold that stops the work if it misses. Your security review answered up front rather than six weeks in. The build is the easy part once those four are written down.

We are not theorising. We run our own company on AI agents: an internal fleet that reclaims 50 or more hours a week across the team, a public MCP server at mcp.strataigize.com that lets an AI agent query our business directly, and a governance model we had to build for ourselves before we sold it to anyone.

What we build

Custom AI agents, by the job.

Every one of these is scoped as a single bounded workflow first. The system comes from stacking proven workflows, not from buying a platform and hoping.

01

Intake and qualification agents

Inbound leads, applications, or requests read, enriched, qualified against your rules, and routed or booked. The judgment calls stay with a person; the sorting does not.

02

Reporting and analysis agents

Pull from your ad platforms, CRM, and analytics on a schedule, surface what changed and what it means, and write the next actions into the tool your team already uses.

03

Document and back-office agents

Invoices, contracts, forms, and tickets read and turned into structured records in your systems, with exceptions escalated instead of guessed at.

04

Research and monitoring agents

Competitors, pricing, regulation, or your own accounts watched continuously, distilled into a short daily read rather than another dashboard nobody opens.

05

Internal knowledge agents

An agent that answers from your documents, your policies, and your history, with citations back to the source so an answer can be checked instead of trusted.

06

Agent-callable surfaces

MCP servers, tool APIs, and machine-readable endpoints so your systems, and your customers’ AI assistants, can call your business directly. We run one ourselves.

How it works

The engagement, in order.

01

Scope one workflow

A working session on your actual process. We pick the single highest-value bounded workflow and name the ones you should not automate yet.

02

Agree the numbers

Fixed price for the first workflow, one written success metric, a named person who measures it, and a kill threshold that stops the project. All before any build.

03

Clear procurement

Security questionnaire, data flow, subprocessors, and DPA handled in week zero, not week six. Our posture is already published, so your reviewer starts reading immediately.

04

Build and shadow

The agent runs on your real data and takes no irreversible action. Every output is reviewed, and the disagreements tune it. You measure accuracy before you measure time saved.

05

Go live, supervised

The agent acts, a person approves anything irreversible, and the approval rate tells you where to widen autonomy. Runs are logged and readable by you.

06

Decide, then expand

At the end of the pilot: expand, extend once with a specific fix, or stop. Written in advance. Workflows two and three are priced before the first one proves out.

Price

Published, not gated.

A competently built single-workflow agent typically costs $3,000 to $8,000, fixed. Most multi-workflow builds land between $40,000 and $150,000, delivered in phases. Enterprise programs carrying security review and compliance run higher. Budget 15 to 25 percent of build cost per year for running it, because a quote with no ongoing line item is incomplete rather than cheap.

We publish the full breakdown, including what drives your number up and the questions that expose a padded quote, in how much AI agents cost in 2026. Bring a competitor quote to the call and we will tell you whether it is fair.

Procurement

Your security review, answered already.

AI agent pilots do not die in the demo. They die in the security questionnaire that arrives in week five and takes six weeks to answer badly. Ours is already written and public.

Trust and security covers our security posture, how client data is handled, our subprocessors, an AI governance summary aligned to the four functions of the NIST AI Risk Management Framework, and a DPA available on request. We do not hold SOC 2 and we say so on that page rather than letting your reviewer discover it. We work through platform-native, client-granted access, so you can see exactly what we can touch and revoke it yourself at any time.

Before you talk to anyone, including us, take the checklist: 24 questions to ask an AI agent vendor. Still deciding whether to use a vendor at all? Start with build versus buy, then the pilot structure that survives procurement.

Looking for the ongoing operations layer rather than a build? That is our AI workflow automation service, which maintains and expands agent fleets month over month.

Questions

AI agent development, answered.

What does an AI agent development company actually do?
It designs, builds, integrates, and maintains AI agents that complete a job end to end inside your existing systems, rather than selling you a chatbot or a subscription. The work is mostly integration, data handling, and governance; the model itself is the smallest part. Strataigize builds them human-in-the-loop, so a person approves anything irreversible.
How much does custom AI agent development cost?
A competently built single-workflow agent typically runs $3,000 to $8,000 fixed. Most multi-workflow builds land between $40,000 and $150,000, and enterprise programs with security review and compliance run higher. Budget 15 to 25 percent of build cost per year for running and maintaining it. Our full cost breakdown is published rather than gated.
How long does it take to build an AI agent?
Two to six weeks for a single-workflow agent including integration and testing. Multi-workflow builds run a quarter, delivered in phases. Anyone promising a production multi-system agent in a week is skipping the testing you will pay for later.
Do we own the agent, the prompts, and the code?
Yes. You own the prompts, the code, the configuration, and the evaluation set, and you can export them. Agent lock-in is the new website-hostage problem, so we settle it in the contract rather than leaving it to trust.
Are you SOC 2 certified?
No, and we say so plainly rather than in a footnote. We are a 10-person firm. Our trust and security page describes the controls we actually operate: least-privilege client-granted access, credentials in managed stores, an AI governance summary aligned to the NIST AI Risk Management Framework, our subprocessor list, and a DPA on request. We complete vendor security questionnaires on request.
Should we hire AI agent developers or use an agency?
Hire in-house when the workflow is core to how you compete and you can name the engineer who owns it in month nine. Use an outside team when you want it built once, correctly, with the maintenance covered. MIT research in 2025 found external partnerships succeeded about twice as often as pure in-house AI builds.
Which industries do you build agents for?
Service businesses, SaaS, mobile app companies, and enterprise marketing and operations teams across the US and Canada. The common thread is a repetitive, rules-heavy workflow that touches several systems and currently eats senior hours.

Start with one workflow.

A 24-hour audit names your highest-value workflow and what it should cost to automate, whether you build it with us or not.

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