Faster from idea to production.
Median time to first AI deployment.
Uptime for production AI systems.
Why Terminal
Why Terminal for agentic AI development
Most agentic AI projects stall between the demo and production. The model is rarely the hard part. Mapping the workflow, wiring agents into your systems and keeping them reliable once real users depend on them is.
Terminal AI embeds engineers who do all three. We ship 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 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 agentic AI development services include
An AI agent does more than answer questions. It plans, takes actions across your tools and hands off to people when judgment is needed. Building one that holds up in production takes more than a prompt.
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 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.
Agentic AI development, answered
What are agentic AI development services?
They cover the design, build and operation of AI agents that complete multi-step work across your systems. Terminal AI handles the full path: workflow discovery, architecture, integration, guardrails, launch and ongoing improvement.
How is agentic AI different from generative AI?
Generative AI produces content when prompted. Agentic AI uses models to plan and act: it calls tools, updates records and moves work forward, with people approving the steps that need judgment.
How long does it take to deploy an AI agent?
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 custom AI agent development cost?
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.
How do you keep AI agents safe and reliable?
We scope each agent’s permissions to its task, add human approval for sensitive steps, test against real cases before launch and monitor outputs in production.
What happens after launch?
We don’t exit at launch. We improve the agent, find the next workflow worth automating, and can hire dedicated engineers through Terminal to own it.