Autonomous agents that execute your back-office operations

Deploy focal agents that start narrow, prove themselves on constrained tasks, then expand into adjacent workflows as trust accumulates.

How agents work

Each agent begins with a single workflow constraint — one task type, one decision boundary, one verification standard. Agents classify tasks into three tiers: intelligence tasks they handle autonomously, human-needed tasks with supervised autonomy, and judgment tasks where they draft and humans decide.

As accuracy compounds, agents earn autonomy over adjacent operations. Every human correction becomes a training signal. The system improves with each interaction through a continuous think-prune-train-improve cycle.

Agent workforce active
Live
T1
Intelligence Tasks

Pattern recognition, data extraction, classification

T2
Human-Needed Tasks

Multi-step workflows, approvals, cross-referencing

T3
Judgment Tasks

Edge cases, exceptions, novel situations

Performance


Avg accuracy
97%
Tasks per day
4K+
Response time
<2s
Uptime
99.9%

Execution Cycle

Think. Prune. Train. Improve.

A continuous loop that turns every task into a learning opportunity. Agents reason, eliminate low-confidence paths, and improve with each interaction.

1

Think & Prune

Agent reasons through the task using domain-specific knowledge and structured decision trees, then eliminates low-confidence paths to surface only high-threshold actions.

2

Train & Correct

Every human correction becomes a training signal. The model improves with each interaction, learning from disagreement and building domain mastery over time.

3

Improve & Expand

Deploy updated capabilities and expand the agent's scope into adjacent workflows as trust builds. Graduated autonomy from single task to full process ownership.

Focal Agents

Start narrow. Expand with trust.

Each agent begins with a single workflow constraint. As accuracy compounds, the agent earns autonomy over adjacent operations.

Graduated autonomy

Trust builds over time

Agents expand their scope as they prove accuracy on constrained tasks.

Week 1

Single task

One constrained workflow. Human-verified outputs.

Month 1

Task family

Adjacent workflows unlocked. Graduated autonomy.

Quarter 1

Full process

End-to-end execution. Humans handle exceptions only.

Task classification

Three tiers of intelligence

Every task is classified by complexity. Agents handle what they can, escalate what they cannot.

T1
Intelligence Tasks

Pattern recognition, data extraction, document classification. Fully autonomous from day one.

T2
Human-Needed Tasks

Multi-step workflows requiring system access, approvals, or cross-referencing. Supervised autonomy.

T3
Judgment Tasks

Edge cases, exceptions, novel situations. Agent drafts, human decides. Every correction trains the next generation.

Deploy your first agent today.

Start with a single workflow constraint. See results in days, not quarters.