Faster from idea to production.
Median time to first AI deployment.
Uptime for production AI systems.
Why Terminal
Why Terminal for AI agent development
Off-the-shelf agents rarely fit how your business actually runs, and most custom builds stall between the demo and production. The model is rarely the hard part. Fitting the agent to the workflow, connecting it to your systems and keeping it reliable is.
Terminal AI embeds engineers who do all three. We ship custom agents where they matter most, then help you go further: expanding what works, adding technical talent to sustain the momentum, and training your team in AI fluency.
Fast enough to create momentum
Focused engagements built around one workflow and one outcome. First agent in production in a median of six weeks.
Builders, not consultants
Forward-deployed engineers embedded with your team, building custom AI agents inside your systems, not slides about them.
Launch is the start, not the finish
Agents need monitoring, guardrails and iteration. We stay after launch and find the next workflow to automate.
Flexibility to carry it forward
Hiring global engineering talent is in our DNA. Keep building with our team, or we’ll hire AI engineers to own your agents.
What our AI agent development services include
A custom AI agent reads context, decides what to do next and acts in your tools, with people approving the steps that need judgment. We build agents around your workflows, not the other way around.
Workflow discovery
We map how the work actually gets done and pick the workflow where an agent creates the most leverage.
Architecture and integration
We choose the models, tools and memory, then connect agents to the CRMs, data warehouses and internal APIs they need, with permissions scoped to the job.
Guardrails and evaluation
We test against real cases, add approval steps for sensitive actions and measure outputs before launch.
Operations and enablement
We deploy, monitor and improve agents in production, and train the people who work alongside them, or hire engineers to own them long term.
Deploy.
Hire.
Train.
Three connected capabilities for teams serious about getting value from AI.
Deploy
Put AI agents to work.
Forward-deployed engineers design and build custom agentic systems around your high-value business problems.
Hire
Create the team that carries it forward.
Backed by Terminal’s core talent business, we help you scale with our team or by hiring dedicated talent for you.
Train
Build AI fluency across the organization.
Practical training and role-specific playbooks, powered by experts and an interactive platform.
Your first custom AI agent in production, in weeks.
Get close to the work.
We embed to observe and understand your workflow, then pair with you to define goals and design solutions for the most impact.
Develop agentic solutions.
Using frontier AI, real data, and integrated tools to test and ship quickly. Real users in your systems.
Deliver radical results.
Deploy into production, apply guardrails, and measure what changed to make the next iteration better.
Keep building from the first win.
Improve the system and expand your vision. Carry it forward by building with us or adding talent through our hiring platform.
Forward-deployed Engineers
The operators bridging problem and solution.
AI is rewriting how businesses work, but connecting ideas to implementation needs a builder who can find the signal in the noise. That is where forward-deployed engineers work.
Understands the business
Works with operators to map how work gets done.
Designs the system
Chooses the right models and architecture and decides where automation ends and humans begin.
Builds with ownership
Writes and ships into production while observing the results. Learns from the outcome and finds the next point of leverage.
Not a consultant handing over a deck. Not an engineer waiting for a ticket.
A builder who can move from ambiguity to solution.
AI agent development, answered
What do AI agent development services include?
Everything it takes to get a custom agent working in your business: scoping the use case, designing and building the agent, connecting it to your systems, testing it, and running and improving it after launch.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An AI agent takes action: it reads data, updates records and moves work through your tools, with people approving the steps that need judgment.
How long does AI agent development take?
Our median time to first AI deployment is six weeks. We start with one workflow and build inside your systems from the first week.
How much does it cost to develop a custom AI agent?
Cost depends on the workflow, the systems involved and how much you want us to run after launch. We scope each engagement around a specific outcome. Chat with us for an estimate.
Will the agent work with our existing systems?
That’s the point. We build inside your stack and connect agents to the tools your team already uses, with permissions scoped to each task.
Who maintains the agent after launch?
Your choice. We can keep running and improving it with you, train your team to own it, or hire dedicated engineers through Terminal.