AI agents that get real work done.
Agentic AI goes beyond chat: agents break a goal into steps, call your systems and APIs, check their own work and hand off to people when judgement is needed. We design agents that are useful, observable and safe.
Overview
We start with well-bounded workflows where agents can deliver clear value — triaging tickets, reconciling records, researching and preparing case files, onboarding customers or running IT operations runbooks — and design the tools, permissions and approval steps around them.
Our agent platforms include tracing of every decision and tool call, cost and latency controls, guardrails on what agents may change, and human-in-the-loop checkpoints, so automation scales without losing accountability.
What you get with us.
Agent design & orchestration
Single and multi-agent systems with planning, memory and tool use.
Tool & API integration
Secure connectors to ERP, CRM, ITSM, databases and internal APIs, including MCP servers.
Human-in-the-loop
Approval steps, escalation paths and review queues where they matter.
Observability & evaluation
Tracing, scenario testing and success metrics for every agent workflow.
Guardrails & governance
Least-privilege access, action limits, audit trails and policy enforcement.
Process automation
Agents combined with RPA and workflow engines for end-to-end automation.
Where agents deliver first
Typical starting points we help clients scope and pilot.
- IT service desk & operations runbooks
- Customer support resolution
- Finance reconciliation & AP processing
- Sales research & proposal preparation
- Claims & case intake
- Software engineering & code-modernization assistants
A clear path, phase by phase.
A proven, phased approach. Timings are typical and depend on your scope, data and systems.
Map the workflow
Shadow the team, document steps, systems, rules and where human judgement is essential.
Design tools & permissions
Define the APIs the agent may call, with least-privilege access and approval points.
Build & test
Build the agent and test it against a library of real scenarios before go-live.
Shadow mode
Run alongside people, compare outcomes, fix gaps — no customer impact.
Gradual autonomy
Increase autonomy step by step as measured reliability allows.
Ways to work with us on Agentic AI.
Agent Opportunity Assessment
Find the workflows where agents create real value safely.
- Process & system mapping
- Value and risk scoring
- Autonomy & approval design
- Pilot recommendation
Agent Pilot
One production-grade agent for one workflow.
- Tool integrations
- Scenario test library
- Tracing & dashboards
- Shadow-mode rollout
Agent Platform
A shared foundation so every team can build agents safely.
- Orchestration & memory
- Tool gateway (incl. MCP)
- Guardrails & audit trails
- Evaluation & cost controls
Where Agentic AI delivers value.
IT operations
Diagnose alerts and run approved runbooks.
Service desk triage
Classify, enrich and route tickets; resolve the simple ones.
Finance operations
Invoice matching, reconciliation and exception handling.
Procurement
Supplier research, quote comparison and PO preparation.
Claims & case intake
Check completeness and route cases with summaries.
Sales research
Account research and first-draft proposals.
Software engineering
Code migration, test generation and PR review assistance.
Data analysis
Agents that query data and prepare reports for review.
The stack we work with.
Vendor-neutral: we choose tools to fit your environment.
Frameworks
Managed platforms
Protocols & integration
Observability & safety
Agentic AI: common questions
How autonomous are AI agents?
As autonomous as you choose. We start with agents that recommend or act only on low-risk steps, with human approval for anything financial, customer-facing or irreversible, and increase autonomy as measured reliability allows.
How is agentic AI different from RPA?
RPA follows fixed scripts and breaks when inputs change. Agents can read unstructured information, reason about the next step and use tools flexibly. In practice the two often work together.
Can agents work with our existing systems?
Yes. Agents connect through APIs, connectors and protocols such as MCP, using dedicated identities and least-privilege permissions.
How do you make sure agents behave safely?
Through scoped permissions, approval points, action and spend limits, full tracing of every decision, scenario testing before release and continuous monitoring.
Agentic AI in practice
Agentic AI for insurance claims intake
How an AI agent could triage first notice of loss, check completeness and route claims — with adjusters in control.
Read moreAutomating freight documents with generative AI
How a freight forwarder could extract and validate data from bills of lading, invoices and customs documents.
Read moreRescuing a stalled GenAI pilot with forward deployed engineers
How an FDE pod could take an insurer’s promising-but-stuck claims summarisation pilot into production in weeks.
Read moreRelated articles
The Forward Deployed Engineering Playbook: How to Run an FDE Engagement
A step-by-step playbook for running a forward deployed engineering engagement — scoping, embedding, prototyping, hardening and handing over.
Why AI Projects Stall in Pilot — and How Forward Deployed Engineers Unstick Them
The most common reasons AI pilots never reach production — data, integration, evaluation, ownership and trust — and how forward deployed engineering addresses each.
Building AI Agents on AWS: Bedrock Agents and AgentCore
How to build and run AI agents on AWS — when to use Bedrock Agents, what Amazon Bedrock AgentCore adds, and a reference architecture with security built in.
Related services
AI & Machine Learning
Predictive models, computer vision and NLP built on your data and taken all the way to production.
Learn moreGenerative AI
LLM-powered assistants, RAG search and content automation — secure, grounded and enterprise-ready.
Learn moreEnterprise AI
AI strategy, platforms, governance and change management to scale AI across the organization.
Learn moreQuantum Computing
Quantum readiness, cloud quantum experiments and post-quantum cryptography (PQC) migration.
Learn moreReady to build what’s next?
Tell us about your project. Our consultants in Florida and Hyderabad will get back to you within one business day.