Data, Analytics & AI

Agentic AI Solutions

Bounded autonomy. Engineered for accountability.

Multi-agent systems with policy guardrails, tool use, and human-in-the-loop oversight — autonomous where it's safe, escalating where it isn't.

Levels of autonomy

The case

Autonomy is a setting,
not a destination.

The right question for an agentic system isn't “how autonomous can it be” — it's “how autonomous should it be, for which task, against which risk”. The answer is rarely binary.

We engineer agentic systems with explicit autonomy levels. Tasks the system runs end-to-end. Tasks it proposes for review. Tasks it escalates immediately. The line moves over time as evidence accumulates — and you can move it back.

Levels of autonomy

Five autonomy levels —
every task lives at one.

Most enterprise agent failures come from putting a level-4 task on a level-2 system, or vice versa. We make the level explicit per task and observable per run.

L1

Suggest

Agent drafts; human edits and submits. Useful for high-stakes tasks where the human stays in the loop on every decision.

L2

Confirm

Agent acts; human confirms before execution. Common starting point for any task with reversible-but-meaningful side effects.

L3

Review queue

Agent acts; human reviews after the fact on a sampled or risk-scored basis. Appropriate for low-stakes high-volume work.

L4

Bounded autonomous

Agent acts inside policy; only edge cases escalate. Reserved for well-understood tasks with strong rollback paths.

What we build

The agent platform —
not just the agent.

01

Agent orchestration

Multi-agent runtimes with planning, memory, tool use, and structured handoffs between specialists.

02

Policy guardrails

Permission scopes, action audits, escalation triggers, and rate limits engineered around your risk model — not the agent's defaults.

03

Human-in-the-loop

Review queues, approval workflows, override controls, and “off switch” UX — autonomy you can switch off in seconds.

04

Eval & sandboxing

Simulation environments, replay debugging, scenario testing, and continuous evaluation against business outcomes.

05

Tool integration

Engineered connectors to your enterprise systems with permission-aware tool use and audit trails on every call.

06

Observability & forensics

Per-run trace, replay, cost, and outcome — every action the agent took, in a form auditors can read.

Where this applies

Anywhere the work
is structured but tedious.

Agentic systems shine in high-volume, policy-bounded work — exactly where most enterprises have their biggest takeout opportunities.

  • Insurance & Reinsurance
  • Banking & Capital Markets
  • Healthcare Payers
  • Legal & Professional Services
  • Manufacturing
  • Logistics & Mobility
  • Telecom & Media
  • Public Sector
  • Energy & Utilities
  • Retail Operations
  • B2B SaaS
  • Shared Services & BPO

Common questions

What we get asked
before launch.

What if the agent does something wrong?

It will, eventually. We engineer for that — every action is logged and replayable, every decision is traceable, every workflow has a rollback path. The system is designed to fail safely, not to never fail.

How do we keep it within policy?

Policy is enforced at the tool layer, not just at the prompt. The agent simply cannot call a tool outside its scope — and every call is audited.

Can we start cautiously and dial up autonomy over time?

That's the recommended pattern. Most engagements start at L2 (Confirm) and dial up to L4 (Bounded autonomous) on specific tasks once evidence accumulates.

Related in Data, Analytics & AI

Adjacent capabilities
in this practice.

All of Data, Analytics & AI

Data Strategy & Consulting

Capability audits, target-state architectures, and a sequenced investment thesis tied to operating KPIs.

Data Lakehouse & Warehouse

Lakehouse on Databricks, Snowflake, or BigQuery — engineered for governed scale and downstream AI.

Advanced AI & Analytics

Forecasting, segmentation, and anomaly detection wired into operational workflows.

Start the conversation

Bounded autonomy,
earned a task at a time.

We'll help you scope the right starting workflow, the right autonomy level, and the rollback path that lets you move with confidence.