Looking for an AI agent development company that ships working agents — not slide decks? MTD Technologies designs, builds, and operates AI agents inside real businesses: support agents that resolve tickets, sales agents that work leads, operations agents that keep your systems in sync. You bring the workflow; we bring the team that turns it into software.
What to look for in an AI agent development company
Before you hire anyone — us included — here’s how to vet them:
- Proof of integrations, not just demos. Ask which business systems their agents have actually touched — CRMs, ERPs, email, databases. An agent that can’t use tools is a chatbot with ambition.
- Guardrail thinking. Ask how they handle consequential actions: human approval gates, audit logs, rollback plans. Vague answers are a red flag.
- Model pragmatism. A good company picks models per workflow — weighing cost, reliability, and data control — instead of defaulting to whatever model is famous this month.
- Post-launch operation. Agents need supervision and tuning after go-live. Ask who watches the agent in month three, and what that costs.
- Honest scoping. If a company says yes to every workflow you mention, they’re selling, not engineering. Some jobs need a person; some need a simple script. We say so when that’s the case.
How we work with you
- Fixed-scope agent build. One workflow, defined outcomes, fixed price. The right shape for your first agent — bounded risk, clear deliverable.
- Dedicated agent team. Our developers embedded with yours, building and operating a fleet of agents quarter by quarter. For companies with a real automation roadmap.
- Agent audit and rescue. We review an agent someone else built — or your in-house attempt — and fix the reliability, grounding, or integration gaps that keep it in pilot purgatory.
Our process
- 1. Workflow selection. We score your candidate workflows for agent fit: clear inputs, definable “done,” acceptable error cost. Bad fits get killed early — that’s a feature, not a failure.
- 2. Design with guardrails. Tools, permissions, human-approval gates, and audit logging are designed before a line of agent code exists.
- 3. Build and integrate. Connected to your stack and tested against adversarial cases, not just happy paths. Read about the autonomous systems side in our agentic AI development work.
- 4. Operate and improve. Supervised launch, review of what the agent actually did, and expanding autonomy only as trust is earned.
Why MTD as your AI agent development company
Nine-plus years shipping software, hundreds of projects delivered, and an integration-first DNA: our n8n automation and AI workflow automation work means your agents land on infrastructure that already connects to your business. You get senior engineers, honest scoping, and code your team can own and run.
Frequently asked questions
What does an AI agent developer actually do?
They design the agent’s workflow, connect it to your systems through APIs and tools, set guardrails and approval gates, ground it in your data, and operate it after launch. It’s software engineering plus AI orchestration — not prompt tinkering.
Fixed price or dedicated team — which should we choose?
Fixed price for a well-defined first agent: bounded risk, clear deliverable. Dedicated team when you have a roadmap of agents and want velocity quarter after quarter. Most of our clients start fixed-scope and expand from there.
Who owns the code and IP?
You do. Everything we build lives in your repositories, documented for your team. No license traps, no hostage code.
How do you handle our data privacy?
Your data stays in your systems; agents access it through scoped credentials with audit logging. We can use EU or US-region models — or self-hosted open models where compliance demands it — and we sign NDAs and DPAs as needed.
How is this different from your agentic AI services?
Our agentic AI development page describes the autonomous multi-step systems we build. This page is about engaging us as the company that builds them — how we scope the work, how we price it, and how we operate alongside your team.
Have a workflow that should be running itself by now? Describe it in a paragraph — we’ll tell you honestly whether an agent fits, and what we’d charge to build it.
Exactly what you get when you hire us
Hiring an AI agent development company should feel like gaining a senior team, not managing freelancers. Every engagement includes:
- Dedicated team: AI engineers who own your project end-to-end — no handoffs between strangers.
- Discovery & scoping: we learn your business before writing code, and quote fixed before building.
- Agent builds: from single-purpose assistants to multi-step agentic systems — matched to your actual need.
- Integration: agents wired into your CRM, tools, and data via our integration team.
- Weekly demos: working software to review every week — never a black box for months.
- Documentation & training: your team learns to operate and extend what we build.
- IP assignment: you own the code, prompts, and documentation outright — in writing.
- Post-launch support: 30 days of free fixes, then optional ongoing partnership.
Engagement models
- Fixed-scope project: defined agent build, fixed price, fixed timeline — best when you know what you want.
- AI team extension: our engineers join your team ongoing — best for evolving roadmaps.
- Discovery sprint: a 2-week deep-dive producing a buildable spec and fixed quote — best when you’re still shaping the idea.
AI agent development pricing
Fixed quotes after a free discovery call. As a guide: focused agent projects typically run $4,000–$12,000. Complex multi-agent programs run $15,000–$40,000+. Team-extension engagements are quoted monthly based on team size. Discovery sprints are fixed at a flat fee credited toward the build if you proceed.
What to expect working with us
- Week 1: discovery — we learn your processes, data, and goals.
- Weekly: live demos of working software, plain-language progress updates.
- Always: direct access to the engineers building your system — no account-manager telephone game.
- At launch: training, documentation, and a handover you can actually use.
Why MTD as your AI agent development company
- 9+ years, 300+ projects: we’ve shipped through multiple hype cycles and know what survives production.
- Engineers, not salespeople: you talk to the people building your system from the first call.
- Full-stack under one roof: agents need tools — workflows, APIs, data pipelines — and we build all of it.
- Honest scoping: if a simpler automation beats an agent, we tell you before you pay for the agent.
More questions, answered
How much does it cost to hire an AI agent development company?
Focused agent projects typically cost $4,000–$12,000 fixed. Complex multi-agent programs run $15,000–$40,000+. Team extensions are quoted monthly. Discovery sprints are flat-fee, credited toward the build.
How do we choose the right AI agent development partner?
Look for: production systems (not just demos) in their portfolio, fixed pricing, IP assignment in writing, direct engineer access, and honest scoping — a vendor who talks you out of unnecessary work is one you can trust with necessary work.
Who owns the IP and code?
You do — full assignment in writing on final payment: source code, prompts, documentation, and trained configurations. No license-back traps, no hostage situations.
How do you communicate during the project?
Weekly live demos plus a shared channel for async questions, with direct access to the engineers building your system. You’ll never wonder what’s happening.
Can you take over our existing AI project?
Yes — we start with a code and architecture audit, stabilize what’s there, then extend. About a third of our engagements begin as rescues; we’re good at it and honest about what’s salvageable.
Do you work with startups or only enterprises?
Both. Startups get focused builds and discovery sprints that respect runway; enterprises get compliance-friendly process and scale. The engagement model flexes — the engineering bar doesn’t.
Looking for a team that ships AI agents that actually work? Talk to our engineers — the first call is with builders, not salespeople.