Action Meaning
Define what an agent action means in the business, technical, legal, or operational system.
"edit file" -> "change authentication behavior" Agent behavior and control for autonomous AI systems
Get autonomous systems into accountable operations.
Semantiv helps teams define what agentic work means, bind important actions to evidence, coordinate work across systems, and control execution before autonomous systems scale.
Runtime model Evidence present
- 01 Agent output tool call, draft, diff, packet
- 02 Operational meaning what the work changes
- 03 Evidence packet tests, clauses, approvals, traces
- 04 Authority context who can allow or escalate
- 05 Controlled execution allow, block, escalate, record
- 06 Decision record durable explanation
decision escalate reason authority missing
01 Problem
Understand what your AI agents actually do before they scale.
Agents are moving from demos into production work. They call tools, touch data, modify code, draft contracts, trigger decisions, and coordinate across systems.
Observed gap Missing context
Logs show what happened. They rarely explain what the work meant, what evidence supported it, who had authority, or why the action should have been allowed.
02 Review
First commercial offer
Agent Behavior & Control Reviews for teams deploying agents that act.
Semantiv maps behavior, tool access, workflow coordination, evidence, authority, and risk. Then we design the runtime controls and implementation path needed to make the system clearer and safer to scale.
-
01Agent and workflow inventory -
02Tool and data-access map -
03Behavior trace review -
04Operational meaning model -
05Evidence and proof model -
06Coordination and composition map -
07Control architecture -
08Implementation prototype or SDK/API direction
03 Platform
Runtime primitives for accountable autonomous work.
The current motion is hands-on review and implementation support. The repeated primitives become the product: action contracts, evidence packets, authority context, coordination graphs, commitment models, and decision records.
Evidence Packet
Bind important actions to tests, clauses, approvals, source documents, traces, and missing support.
tests passed, clause cited, approval missing Authority Context
Clarify who or what can approve, delegate, execute, escalate, or block the action.
required approver: security owner Coordination Graph
Map how work moves across agents, tools, humans, queues, services, and documents.
agent -> CI -> reviewer -> merge gate Commitment Model
Treat contracts, policies, approvals, financial records, and regulated submissions as commitment-bearing artifacts.
who owes what, to whom, under which exception Decision Record
Preserve what happened, what it meant, what evidence supported it, and why the system allowed, blocked, or escalated.
decision: escalate, reason: evidence incomplete 04 Method
Discover. Define. Evidence. Compose. Control.
Controls come after meaning. Semantiv starts from real behavior, defines the operational meaning of important actions, attaches evidence, models coordination, and then designs runtime boundaries.
-
01Discover
Start from real prompts, logs, tool calls, workflows, approvals, documents, and failure cases. -
02Define
Make the operational meaning of important agent actions explicit enough to reason about. -
03Evidence
Identify the support required to trust, block, escalate, or approve autonomous work. -
04Compose
Model how work, authority, responsibility, and evidence move across systems and people. -
05Control
Design runtime boundaries, approval paths, tool wrappers, escalation logic, and durable records.
method loop recordable
- 01 behavior trace
- 02 action contract
- 03 evidence packet
- 04 coordination map
- 05 control point
- 06 decision record
05 Cases
Where autonomous work meets operational consequence.
Semantiv starts where agent actions carry meaning, evidence requirements, authority, coordination, and durable commitments.
Case 01 Coding Agents / Software Delivery A devtool startup has an AI coding agent that can read repositories, edit files, open pull requests, request review, and eventually merge approved changes. Case 02 Security Operations / Agentic SOC A security platform is adding agents that triage alerts, investigate incidents, enrich signals, disable users, block IPs, isolate endpoints, and escalate threats. Case 03 Finance / Accounting Operations A finance automation company has agents that reconcile transactions, classify expenses, prepare reports, draft journal entries, route approvals, and update finance systems. Case 04 Legal / Contract Operations A legal AI product helps in-house teams draft contracts, redline clauses, compare terms, route exceptions, and prepare approval packets. Case 05 Healthcare Admin / Prior Auth / Claims A healthcare operations company has agents that gather clinical evidence, check payer rules, draft prior authorization packets, submit requests, monitor status, and prepare appeals.
06 Start
If your agents are moving from demo to production, start by understanding what they actually do.
Bring one workflow, the traces you have, and the actions that create risk. Semantiv will help turn ambiguous behavior into operational meaning, evidence, controls, and a decision record.