Capacity
Handle more of the same work without growing the team at the same pace.
Complete AI roles · Measurable business value
AI agents that carry business work through to done.
We design, build, and run AI agents that own a workflow from start to finish. Authority is written down, a person can take the exception, and you can measure what the work costs.
- Role-level automation
- Human escalation by design
- Unit economics first
An agent-owned workflow
From incoming work to a verified outcome.
The agent moves work across systems, follows written authority, and brings exceptions to a person who has enough context to decide.
01ReceiveInbox, queue, schedule, or event
02DecidePolicy, context, and bounded judgment
03ActUse tools and update systems
04VerifyComplete, document, or escalate
Human reviewExceptions remain visible and owned.
Consistency
Same process, same controls, same documentation, every time.
Responsiveness
Keep the queue moving across hours and systems.
Economics
Spend on models and infrastructure in proportion to the value of the work.
The unit of automation
Automate a role or workflow, not an isolated task.
The agent takes the work in, looks up context, uses the tools it is allowed to use, and finishes the next step. It stops when a person needs to decide.
Isolated automation
InputSingle taskOutput
Agent-owned workflow
ReceiveReasonActVerify
That means real ownership: known inputs, tools, limits, a finish line, and a way to escalate.
Economics before architecture
Use the capability the work requires.
We pick models, context, tools, and infrastructure by accuracy, speed, volume, risk, and cost per completed item.
01 / Value
What is a completed workflow worth?
Know the current effort, delay, rework, and business impact before you choose technology.
02 / Requirements
What quality, speed, and control does it require?
Separate routine steps from expensive judgment and high-risk actions.
03 / Unit cost
Does the production design improve the economics?
Measure model use, infrastructure, exceptions, and operating effort against how the work runs today.
Design principle Spend follows workflow value, not model novelty.
Example workflow categories
Good candidates cross tools and have a repeatable path to done.
Possible applications only. These are not completed customer projects. Fit depends on the work, systems, risk, and volume.
Customer operations
Triage requests, gather context, update systems, and carry work to closure.
Research and reporting
Run repeatable research methods, organize evidence, and produce reviewable outputs.
Sales operations
Maintain CRM records, prepare account context, and coordinate process follow-through.
Vendor administration
Collect documents, track renewals, compare inputs, and route approvals.
Knowledge support
Answer from controlled sources, guide procedures, and escalate policy questions.
IT and cloud operations
Enrich alerts, run approved procedures, maintain tickets, and surface exceptions.
A controlled path to production
Prove the workflow before expanding the agent.
We start with one bounded role. We agree how success will be measured. Autonomy grows only when the evidence supports it.
See the six-step process- 01DiscoverMap the role, systems, exceptions, and definition of done.
- 02BaselineAgree on current cost, service, quality, and success measures.
- 03DesignDefine architecture, authority, controls, and escalation.
- 04PilotTest a controlled scope under representative conditions.
- 05OperateMonitor outcomes, exceptions, failures, and spend.
- 06ImproveFix weak points and expand only where justified.
Human oversight by design
Autonomy inside clear boundaries.
Production agents need written authority and visible behavior. They also need a reliable way to stop, ask for approval, or hand an exception to the right person.
- AuthorityLeast-privilege access and explicit approval thresholds
- TestingRepresentative, edge, and adverse scenarios before expansion
- EscalationHuman review with the context needed to make a decision
- OperationsMonitoring for outcomes, failures, drift, and cost
A practical first conversation
Bring us one workflow that should work better.
Tell us the volume, systems, exceptions, risk, and economics. We will say whether an agent is a sensible next step.