Software & Integrations
Not a chatbot. A worker that
reasons, plans, and acts.
An AI agent is a system that can be given a goal — not a script — and figure out the steps to accomplish it. It can use tools, gather information, make decisions, and take actions across your business systems. We build agents that run on your infrastructure, operate within boundaries you define, and keep you in control.
The Concept
What is an AI agent?
A chatbot answers questions. An AI agent does work. The difference is that an agent is given a goal — "review this contract," "research this prospect," "monitor these shipments and alert me to problems" — and it executes a sequence of steps to complete it, using whatever tools and information it has access to.
Here's a simple example. A chatbot can answer "what are the terms in this contract?" if you paste the text in. An agent can be told "review the contract that just arrived in the legal inbox, compare it to our standard template, and send a summary of the deviations to the responsible attorney" — and it will do all of that, without anyone manually orchestrating the steps.
This is also different from a workflow. A workflow is deterministic — it follows a fixed path of rules. An agent uses AI reasoning to decide what to do next, which makes it better suited to situations with variability, ambiguity, or tasks that don't follow a predictable pattern every time.
The critical design question is always: what can it do on its own, and where must it ask? We build that decision boundary into every agent we deploy.
What You Get
A purpose-built agent that operates within your rules.
Goal-directed reasoning
You give an agent a goal, not a script. It figures out the steps. If something unexpected happens midway through, it adapts — it doesn't crash or do nothing.
Tool use
Agents can search the web, query databases, read documents, send emails, update records, and call your business systems — any capability you authorize them to have.
Multi-step execution
Unlike a chatbot that answers one question at a time, an agent can run a complete task — gathering information from multiple sources, synthesizing it, and producing a finished output.
Human-in-the-loop controls
Agents can be configured to require approval before taking high-stakes actions — sending a message, modifying a record, or exceeding a dollar threshold. You define the guardrails.
Private and audited
We run agents on your own infrastructure. Every action is logged: what it was asked to do, what tools it called, what it returned. Full traceability, no black boxes.
Background operation
Agents can run scheduled tasks, monitor inboxes, watch for conditions, and act — without a human triggering every instance. Set it up once; it works continuously.
Use Cases
What agents are doing for businesses today.
Law Firms
A contract review agent that reads uploaded agreements, identifies non-standard clauses, flags deviations from your template, and produces a redline summary — in minutes instead of hours.
Healthcare Clinics
A prior authorization assistant that gathers the relevant clinical notes, checks payer criteria, and drafts the authorization letter for a clinician to review and submit.
Real Estate Brokerages
A research agent that compiles recent comparable sales, neighborhood trends, and property data, then drafts a market analysis that an agent can finalize and send to a client.
Logistics & Freight
A shipment exception monitor that watches your EDI feeds, identifies delays and discrepancies, drafts customer notifications, and escalates situations that need human attention.
Financial Services
An account review agent that pulls transaction history, flags unusual patterns, compiles a summary report, and routes it to the appropriate compliance officer for sign-off.
Professional Services
A new business intake agent that reads inquiry emails, extracts requirements, cross-references your existing client database, and populates your CRM with a pre-qualified summary.
Manufacturing
A supplier monitoring agent that tracks commodity pricing, lead time changes, and supplier communications — surfacing supply chain risks before they become production problems.
Non-Profits
A grant research agent that identifies funding opportunities matching your mission, summarizes eligibility criteria, and prepares a ranked list of prospects for your development team.
Have a task in mind that sounds like it could be automated but doesn't fit a simple rule?
The Process
From a task you'd rather not do to a system that handles it.
Define the goal and boundaries
We work with you to define exactly what the agent is supposed to accomplish, what data it can access, what actions it can take, and where it must stop and ask.
Identify tools and integrations
We map out every system the agent needs to interact with and build the appropriate connections — APIs, database queries, file access, messaging — with least-privilege access.
Build, test, and red-team
We test for correctness but also for safety: what happens when the agent gets ambiguous input, hits an error, or encounters an edge case it wasn't designed for?
Deploy with monitoring
We stand up logging, alerting, and approval gates appropriate for the task. You know what the agent is doing, you can see its history, and you can pause it at any time.
Ready to Start?
Tell us the task you most wish someone else was handling.
The best agent projects usually start with a specific, high-friction task that someone on your team dreads. Describe it — we'll tell you whether an agent can take it off their plate.