NewAgentic AI proof of concept on your data in 2-4 weeks
AI & Agentic AI

Agentic AI Development

AI agents that don't just answer questions - they plan, act and get work done.

Agentic AI moves beyond chat. Our agents understand a goal, break it into steps, call your APIs and business systems, check their own work and hand over to a person when judgement is needed. We design single agents and multi-agent systems with clear permissions, guardrails and full traceability - so you can trust them with real processes.

What we deliver

Goal-driven agents

Agents that plan and execute multi-step tasks across email, documents, CRM, ERP and internal APIs.

Multi-agent systems

Specialist agents - researcher, planner, reviewer - that collaborate on complex workflows.

Tool & API integration

Secure connectors and Model Context Protocol (MCP) servers for your existing systems.

Human-in-the-loop

Approval steps, escalation rules and confidence thresholds where decisions matter.

Memory & context

Short- and long-term memory so agents remember customers, cases and preferences.

Observability

Every step, tool call and decision traced, logged and reviewable.

Popular use cases

Order-to-cash and payment reconciliation
Lead research, qualification and CRM updates
IT and HR helpdesk that resolves, not just routes
Procurement and vendor onboarding

What you get

  • Hours of repetitive work removed every week
  • Processes that run 24/7 with consistent quality
  • Full audit trail of every action
  • People focused on decisions, not data entry

Technologies we use

LangGraph Semantic Kernel CrewAI AutoGen Model Context Protocol OpenAI Claude Azure OpenAI

Built with guardrails

Human in the loop

Approval steps and escalation for sensitive or high-value actions.

Data privacy

PII masking, role-based access and hosting in your own cloud tenant.

Evaluated, not guessed

Accuracy and safety test suites run before every release.

Full observability

Every prompt, tool call, cost and decision traced and auditable.

Frequently asked questions

How is an AI agent different from a chatbot?

A chatbot answers questions. An agent works towards a goal: it plans steps, uses tools such as your CRM or ERP, checks the result and completes the task - asking a person for approval wherever you decide.

Can agents make mistakes?

Yes, which is why we design with guardrails: limited permissions, validation rules, human approval for sensitive actions, and evaluation tests that run before every release.

Will an agent work with our existing software?

Yes. Agents connect through APIs, databases, email and - where no API exists - controlled browser or RPA automation.

How we work

From idea to production

Discover

Workshops to understand your goals, users, data and constraints. You receive a written scope and estimate.

Prototype

A clickable design or a working AI proof of concept on your data - so you see value before you commit.

Build

Agile sprints with a demo every week or two, with security and guardrails built in from day one.

Evaluate & Launch

Functional, accuracy, security and performance testing, then a smooth go-live.

Operate & Improve

Monitoring, LLMOps, maintenance and new features as your business grows.

Let's talk

Ready to put AI to work? Let's build your first agent.

Book a free AI discovery session. We will map your highest-value use cases and share a proof-of-concept plan, timeline and estimate - usually within 48 hours.

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