ENTERPRISE
More agent capability should not mean less organizational control.
Agentify keeps work state, access boundaries, human decisions and verified outcomes outside the model session so AI can participate in real systems without making the runtime the authority.
CONTROL
Give the work only the authority it needs.
Agentify treats access and action boundaries as product design, not as prompt wording. Agent configuration, authorized tools, selected knowledge, channels, assignments and delegations remain application concerns.
- 01
Explicit access boundaries
Tools, knowledge and channels are configured around the agent and workflow rather than assumed from the underlying model's maximum capability.
- 02
Human decision points
Workflows can stop for review, handoff or approval where the organization wants a person to remain accountable for the next step.
- 03
Durable application records
WorkItems, assignments, delegations, attempts and workflow state remain inspectable after the model call is over.
- 04
Replaceable execution
Provider and runtime concerns are separated from the surrounding work record so model choice does not have to become organizational identity.
ENTERPRISE REFERENCE
One workflow can cross agents, people and enterprise systems without changing the source of truth.
In a frozen synthetic municipal procurement reference workflow, a real Microsoft Teams request entered Agentify and became durable work. Four persistent specialist agents participated, independent Policy and Finance branches ran concurrently, and one bounded branch executed through managed Codex in a fresh Firecracker microVM.
A mandatory delivery constraint rejected the cheapest quote and drove a bounded replan. Agentify then paused on a manager approval, invoked a real Power Automate boundary, independently verified exactly one resulting Microsoft record, wrote the decision artifact to SharePoint, and posted completion back to Teams.
The external systems remained authoritative for their outcomes. Agentify remained authoritative for the work, delegation, approval and acceptance state around them.
VERIFIED OUTCOMES
Completion should be grounded in the systems that matter.
A software-engineering run can be checked against pull-request, CI and review state. A public Front Desk can persist structured intake and an explicit handoff. An enterprise workflow can be checked against Teams delivery, SharePoint source and result records, a human approval, an isolated execution run, a provider-created record, operations state and correlated audit history.
An agent's narration is useful context. It is not automatically the business outcome.
ASSURANCE BOUNDARY
Be precise about what is proven.
The current enterprise reference proves functional behavior using synthetic data. It does not, by itself, establish Canadian residency, a certification, customer adoption, production scale, service levels or every engagement-specific control.
For regulated or public-sector work, Amidship can scope and prove deployment-specific assurances separately rather than implying that every possible assurance applies to every Agentify deployment.
BUYER QUESTION
Where should agent work actually live?
Identity systems, context gateways, integrated agent platforms and Agentify solve different layers of the stack. Our buyer guide makes those boundaries explicit before comparing vendors.