Data Agents
Agentify your business.
AI agents that take on the repetitive judgment calls in your operations — working alone or as a team, around the clock — so your people spend their time on what actually needs one.
Specialist agents, one supervisor, zero friction
Triage Agent
Reads every incoming request, ticket, or transaction and routes it to the right queue, priority, and owner — instantly, and around the clock. Runs continuously in the background, not just when someone remembers to ask.
Review / Exception Agent
Checks work against your rules, flags anything that doesn't fit the pattern, and clears the routine cases automatically — leaving only real exceptions for a human. Grounded in your governed business data, so a flagged exception comes with the actual reasoning behind it, not just a red flag.
Reporting Agent
Compiles the numbers, writes the narrative, and delivers it to the right stakeholders on schedule — a finished report, not a raw export.
Supervisor Agent New
Coordinates the other three, and any specialist agents beyond them, into a single end-to-end workflow — pulling data, checking it against policy, drafting the report, and looping in a human only at the final sign-off. Instead of three agents working in isolation, one process runs start to finish.
Why agentic AI is the next step, not a novelty
Runs around the clock
No queue backs up overnight or over a holiday weekend.
Consistent judgment
Applies the same rules the same way, every time — no fatigue, no drift.
Scales with volume
Handles a spike in tickets or transactions without a hiring cycle.
Frees your best people
Skilled staff spend time on judgment calls, not repetitive triage — the work moves upstream, not away.
Grounded, not guessing
Agents reason against your governed, ontology-mapped business data — not a generic model with outdated assumptions — so an answer or action stays accurate to how your business runs today.
Governed and auditable by design
Every agent action — what it accessed, what it decided, what it did — is logged and permissioned through the same governance layer as the rest of your data, connected securely via MCP (Model Context Protocol), the emerging standard for how AI systems safely reach real tools and data. "The AI did it" always comes with a clear trail of what, why, and under whose authority.
Processes teams are agentifying first
Support & request triage
Every ticket classified, prioritized, and routed the instant it lands — with edge cases escalated to a human instead of quietly mishandled.
Invoice & expense review
Routine claims clear automatically; only genuine exceptions — a duplicate payment, an out-of-policy expense — reach a human, with the reasoning already attached.
Compliance exception handling
Continuous policy checks that flag real risk instead of burying it in noise, with full lineage back to the source data for every flag.
Scheduled reporting & comms
Weekly and monthly reports written and delivered without anyone chasing them — grounded in live, governed data, not a stale export.
End-to-end multi-agent workflows
A supervisor agent runs an entire process — say, monthly close — coordinating a data-pulling agent, a variance-explaining agent, and a report-writing agent, with a human reviewing only the final output.
Connected to the tools you already use
Through governed MCP connections, agents can securely reach systems like your CRM, ticketing tool, or Slack — taking action where the work actually happens, not in a separate AI sandbox.
Built on the platforms leading the industry
Microsoft Fabric
Fabric's data agents run natively against OneLake, with Business Events turning raw changes into meaningful triggers — a high-value order, a critical stock drop — that agents can act on the moment they occur, all governed centrally through the OneLake catalog.
Databricks
Agent Bricks provides the full platform for building and orchestrating agents, including a Supervisor Agent for coordinating multi-agent workflows, with Unity Catalog and Unity AI Gateway governing every model, tool, and MCP connection an agent touches — and Genie Ontology keeping its reasoning grounded in real business context.
Ready to agentify a process?
Tell us which workflow eats the most time — we'll scope the agent, or the agent team, for it.