SolutionsAI & Data

Agentic AI solutions with enterprise guardrails.

We build tool-using AI agents for real enterprise operations: triage, research, case handling, exception management, knowledge retrieval, and back-office workflows where every action needs boundaries.

Talk to Kabir Product Engineering practice

3-5

Systems integrated per pilot

8-12

Week controlled pilot

100%

Human approval on high-risk actions

24/7

Managed improvement available

Expected outcomes

Faster exception handling

Agents investigate, summarize, and prepare next actions while teams keep control over final decisions.

Operationally explainable AI

Every important agent decision can be traced, reviewed, replayed, and improved.

Controlled autonomy

Automation increases without letting a model take unsupported high-risk actions.

What buyers are trying to solve

Pressures shaping
the buying decision.

Automation stops at the first exception
Rules engines handle the happy path. Human teams still absorb all ambiguity, investigation, and cross-system follow-up.
Agents acting without enough control
The business wants autonomy, but security and operations need permissions, approvals, and a durable action history.
Systems do not work together
Exception work often crosses service platforms, CRM, documents, email, approvals, and reporting. Agents need controlled access to that context.
No way to prove safe behavior
Multi-step automation needs scenario testing, approval thresholds, action history, and escalation rules before teams can trust it.

How Prometheas delivers

The plays we run
to ship safely.

Agent boundaries before autonomy
We define allowed tools, forbidden actions, approval thresholds, memory rules, fallback paths, and escalation contracts.
Human-in-the-loop orchestration
Agents can draft, classify, recommend, and prepare actions while humans approve high-risk or customer-visible steps.
Workflow integration with controls
Agents work across enterprise systems through approved actions, review queues, and clear ownership for exceptions.
Scenario-based evaluation
We test multi-step behavior against known incidents, edge cases, red-team prompts, and operational acceptance criteria.

Use cases

Where this
creates leverage.

IT service triage agents
Classify incidents, gather context, suggest remediation, and route escalations through ServiceNow or Jira.
Claims and case operations agents
Read evidence, identify missing information, draft next steps, and escalate regulated decisions.
Revenue and support operations agents
Prepare account research, detect churn signals, summarize cases, and trigger next-best actions.

Delivery shape

Sized to the
risk and scope.

Agentic workflow discovery
2-3 weeks to select the right workflow and map risk, tools, approvals, and evaluation scenarios.
Controlled agent pilot
8-12 weeks for a human-reviewed agent in one bounded workflow.
Production agent rollout
16-24 weeks for governed agents, action history, operating controls, and rollout across multiple teams.

Technology involved where needed

Supporting systems, not the main story.

We choose tools around ownership, risk, integration needs, and lifecycle cost. Buyers should see this as implementation support, not the definition of the solution.

Approved model providersService and CRM systemsKnowledge repositoriesApproval queuesAudit logsWorkflow analytics

Capabilities in this solution