Delegation,
not just automation.
Goal-driven AI agents that run multi-step business work — assembling quote packages, drafting vendor outreach, classifying documents, administering projects — under supervision you control.
Hand it a goal.
It runs the steps.
Each agent is configured for one job — with the system access that job requires and nothing more. These are the assignments where agents earn their keep.
Quote & proposal packages
The agent assembles the whole package — pricing pulled from your sheets, terms from your templates, cover letter drafted — then stages it for your review, not your assembly.
RFQ generation & vendor outreach
Give it a bill of materials; get back drafted RFQs and vendor emails, tailored per recipient, held in the outbox until you approve them.
Classification & filing at scale
Hundreds of inbox attachments sorted, named by your convention, and filed to the right folder and record — the backlog nobody was ever going to clear by hand.
Project administration
Status chasing, checklist upkeep, deadline reminders. The agent notices what has gone stale and nudges the right person before you have to.
Research & summarization runs
Point it at a question — vendor options, policy changes, published pricing — and get a structured summary with sources, instead of forty open tabs.
Multi-system tasks
Through API integrations, one agent can read your CRM, update your project tool, and write the spreadsheet — the swivel-chair work between systems.
Autonomous, not unsupervised.
"Autonomous" should make an ops lead nervous. So we build the controls first: you decide what an agent may touch, and outbound work waits for a human until you — not we — decide it should not. Every run also feeds our AI operations monitoring.
Nothing leaves the building on its own. Emails, quotes, and filings hold for sign-off until you deliberately loosen the gate.
Every step is recorded — inputs, outputs, timestamps. Replay any run and see exactly what the agent did and why.
Each agent gets the minimum access its job requires. New folders, new systems, new actions — each one is a grant, not a default.
Pause or stop any agent instantly. In-flight work holds where it is; nothing half-finished goes out the door.
Agents don't work alone.
An agent is the worker. The rest of our AI stack supplies its facts, its paperwork skills, its rails, and a secure place to live.
Knowledge Intelligence — the facts
Agents answer from your indexed records — prior quotes, specs, project history — instead of improvising from memory.
Explore Knowledge IntelligenceDocument Intelligence — the paperwork
Extraction, classification, and reconciliation give agents clean structured data to act on, not raw PDFs.
Explore Document IntelligenceWorkflow Automation — the rails
Triggers, queues, retries, and integrations — the plumbing agents run on and report through.
Explore Workflow AutomationSecure AI Hosting — the home
Agents deploy on our own GPU-accelerated infrastructure with private endpoints and access controls.
Explore Secure AI HostingAgents are built on commercially available foundation models from established providers, including OpenAI — then scoped, configured, and reviewed for your specific business use case. The model is a component; the controls are the product.
The questions everyone asks
What stops an agent from going rogue?
Which tasks fit agents best?
What happens when an agent makes a mistake?
Is this about replacing staff?
Write the job description. We'll build the agent.
Brief us the way you would brief a new hire — the inputs, the steps, what finished looks like. You'll get back a scoped plan: the agent, its permissions, its gates, and its rollout.