Flagship Service
AI agents built around real workflows.
We design and build AI agents and automation that take on the repetitive parts of your operations: research, classification, drafting, routing, scheduling, and system updates, while keeping people in control of decisions that need judgment.
Most businesses lose time to work that follows a pattern: an inquiry needs to be read and categorized, a record needs to be created, a follow-up needs to be drafted, a calendar needs to be checked. Individually these tasks are small. Together they consume hours every week.
We build AI agents that handle this category of work end to end: understanding a request, deciding what should happen next, acting on it through your existing systems, and escalating to a person when the situation calls for judgment rather than a rule.
Examples
- Example workflow: an inbound inquiry is classified, matched against existing records, summarized, and routed to the right team with a drafted response awaiting approval.
- Example workflow: incoming documents are read, key fields are extracted, and the data is written to the system of record with a flag for anything low-confidence.
- Example workflow: a scheduling request checks calendar availability, proposes times, and confirms the booking once selected.
Capabilities
What this includes.
Multi-step agent workflows
Agents that carry a task through several stages (read, classify, retrieve, draft, act) instead of a single prompt and response.
AI customer support assistants
Assistants that answer common questions from your documentation and systems, and hand off to a human for anything outside their scope.
Lead qualification & intake
Automated first-pass review of inbound leads or intake requests, with routing based on fit, urgency, or service line.
Scheduling & intake automation
Workflows that move a request from first contact to a booked appointment, checking availability and confirming details.
Document processing & data extraction
Pulling structured data out of forms, PDFs, and emails and delivering it to the systems that need it.
Internal knowledge assistants
Search and Q&A over your internal documentation so staff can find answers without digging through folders.
CRM & back-office automation
Keeping CRM records, tickets, and internal trackers updated automatically as work moves through your pipeline.
Human-in-the-loop systems
Approval steps and review queues built in wherever a decision has real consequences. Nothing acts unsupervised by default.
Our Approach
How we deliver this.
- 1
We start by mapping the workflow as it actually runs today, including the exceptions, not just the happy path.
- 2
We identify which steps are safe to automate outright and which need a human checkpoint.
- 3
We build the agent against your real systems and data, then test it against edge cases before it touches live work.
- 4
We add monitoring so you can see what the agent is doing and step in when needed.
Ready to talk through AI Agents?
Every engagement is scoped around the problem, systems involved, and desired outcome.