Solution · Governed AI workflow
Put approved AI to work inside a workflow that matters.
Connect approved models to agency data, tools, permissions, evaluations, and human decision points so one workflow becomes useful in practice.
Your agency may already have an approved AI service such as Bedrock or Azure OpenAI, or the mission may call for Intelligrit to provide one within agreed limits. Either way, the deliverable is not model access. It is a workflow that meets mission standards.
For AI built into the mission solution, define what it can access, what actions it can take, how it is tested, and where a person must decide. AI that Intelligrit uses to deliver the work is governed separately under the engagement’s rules for mission purpose, data, security, privacy, accessibility, rights, records, access, and human approval. Intelligrit remains responsible for its performance.
Define what the AI may see, do, and decide before it goes live
Agree on permitted data, systems, models, tools, and actions; how activity is retained and audited; how the workflow is tested; and when a person must review, escalate, or approve.
The complete delivery path still applies. AI work adds explicit controls for model behavior, safeguards, and testing.
What the Solution Can Include
AI Agents
Governed AI workflows that perform bounded work against real systems. Agents can process documents, draft updates, generate reports, and execute approved actions through explicit permissions and approval gates. Accountable people retain authority for consequential decisions.
Model Context Protocol (MCP)
MCP gives approved AI tools a standard way to reach approved agency systems. We build MCP servers for databases, APIs, and document stores, with explicit permissions for reading authoritative data and taking permitted actions.
System Connectors
We connect AI and internal systems in both directions. AI can read or update approved systems, and applications can call AI for analysis, classification, summarization, or decision support. The connectors follow customer security requirements and run in the approved environment.
Workflow Automation
Multi-step automated processes triggered by events: a document arrives, a record changes, a deadline approaches. AI supports analysis and drafting; explicit rules, permissions, approval gates, and accountable people govern consequential action.
What must be true before people rely on it
Evaluation must reflect the actual task: representative inputs, failure modes, groundedness, accuracy or quality thresholds, latency and cost limits, prohibited behavior, and the conditions that require review, escalation, rollback, or shutdown.
If representative data, integrations, or evaluation thresholds are not yet available, begin with a bounded prototype that answers those questions. Decoy is an in-development foundation for testing synthetic-data boundaries where that approach fits.