Build dependable agentic workflows with the right guidance, processes, and technology. Put runtime, evaluations, and control at the heart of how your team works.
Runtime / Evaluations / ControlOne connected system
For the teams moving beyond the agent demo.
RuntimeEvaluationsControl
01 / Guidance & process
Clear guidance. A practical path forward.
We help teams turn an AI opportunity into a working plan — with clear decisions about architecture, quality, and oversight.
Guidance. Choose the workflows worth pursuing, define the architecture, and build an evaluation strategy around measurable outcomes.
Process. Map the steps, responsibilities, and approval points. Establish release checks, exception handling, and a repeatable improvement cycle.
02 / The platform
Three foundations. One operating layer.
The software layer of our approach: a roadmap connecting execution, evidence, and oversight.
Upcoming
Runtime
From a single task to a complete workflow.
An execution layer for agents, tools, and workflow steps, designed around persistent state and recovery. Keep long-running work connected from start to finish.
Workflow orchestration
Durable state and recovery
Long-running execution
Upcoming
Evaluations
Measure outcomes, not impressions.
Define success. Test against real tasks, catch regressions, and compare changes before they reach production. Make quality a release criterion, not a guess.
Task-based evaluation suites
Regression checks
Model and workflow comparisons
Upcoming
Control
Keep autonomy within boundaries.
Set the boundaries before agents act. Scoped permissions, approval checkpoints, and execution limits put oversight where it belongs: inside the workflow.
Scoped access and approvals
Execution and spending limits
Traceable actions and audit trails
03 / Our approach
Not just an agent loop. A learning loop.
Our process connects strategy to execution: define success, evaluate changes, observe results, and turn every failure into a better test.
From definition to continuous improvement
01DefineSet the task, tools, and success criteria.
02EvaluateTest real outcomes against a baseline.
03RunExecute with explicit boundaries.
04ObserveInspect quality, latency, and cost.
05ImproveTurn failures into tests. Repeat.
Across every stage: scoped access, human oversight, and clear limits.
Workflow pattern Document operations
From document intake to a verified outcome.
Extract and validate incoming documents. Route exceptions to a person. Update the system after approval. Measure success by the accuracy of the final record — not the confidence of an agent's response.
04 / Start a conversation
Building with agents? Let's talk.
Whether you need guidance on where to start, a repeatable operating process, or a conversation about the platform, let's talk about your next step.