State, before conversation.
An agent needs the current order, the approved revision, the material requirement and the previous decision. A chat transcript alone cannot tell a factory what to make.
Native agentic systems
Intelligence needs architecture.
State, tools, permissions, execution and evidence. The engineering principles behind dependable agentic work.
An engineering discipline
Agency is a
system property.
A model can propose an action. A dependable agentic system must decide whether it is permitted, execute it safely and establish what actually happened.
Our architecture begins with the workflow: its state, objectives, actors, tools, constraints and completion criteria. Language models are one component inside that system.
These principles guide our engineering and enterprise deployments. The exact tools, controls and integrations depend on the product and agreed scope.
Tools, within permissions.
Reading stock, drafting a purchase order and releasing a payment are different permissions. Each tool has a defined contract, validated inputs and a business owner.
Decisions with boundaries.
Confidence, spend, margin and specification changes determine whether the system proceeds, asks for approval or escalates. Uncertainty is a state to handle.
Execution that survives.
Work may wait hours for approval or days for a supplier. Durable state, explicit retries and duplicate protection are the foundations of a dependable workflow.
Evidence closes the loop.
A tool call is an attempt. A confirmed result, a linked source and a verified state change are what allow the next stage to begin.
Evaluation, in context.
Correct extraction, permission compliance, calculation accuracy and successful execution need separate checks. A fluent answer is only one small part of the job.
The agent contract
Authority should
be explicit.
01A defined responsibility
02Approved inputs
03Permitted actions
04Restricted actions
05Approval thresholds
06An audit trail
07A human owner
08An escalation path
Watch the decision boundary
The next action
has conditions.
Walk through a shortage, a drawing change or a bill discrepancy. The important part is what must be known and approved before the work moves on.
Execution model / interactive illustration01—05
A verified BOM is ready. Available stock is short.
01 / Observe
Read the approved BOM and current inventory.
Illustrative workflow. Tools and approval rules are configured for each deployment.
Failure is part of the design
Uncertainty is visible.
Low confidence, conflicting revisions and incomplete inputs should become reviewable exceptions. Silent guesses become expensive downstream decisions.
Retries have consequences.
Repeated requests must not create repeated orders or charges. Workflows need stable identifiers, duplicate checks and explicit handling of partial completion.
Memory needs provenance.
A persistent fact needs a source, a scope and a revision. A previous inference should not quietly become an approved specification.
Evaluation is continuous.
Measure extraction, calculations, tool permissions and verified task completion independently. Inspect failures against actual workflows and improve the relevant component.
Begin with one real workflow
What should your
business do next?
Bring the work that keeps coming back to you.
We’ll map the inputs, decisions, actions and evidence.