Agentic AI Services

AI Agents That Think, Plan & Act For Your Business

End-to-end autonomous AI solutions that perceive your environment, reason over goals, and execute complex multi-step workflows - with zero hand-holding.

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The Technology

What Is Agentic AI?

Unlike static chatbots or single-query LLMs, agentic AI systems operate in continuous loops - perceiving, reasoning, planning and acting across long-horizon tasks.

Perceive

Agents ingest live data from APIs, databases, documents and sensor feeds - building a real-time view of your environment.

Reason

LLM-powered reasoning chains break complex goals into actionable sub-tasks, selecting the optimal tool or API for each step.

Plan

Agents build and dynamically revise multi-step execution plans, handling ambiguity and unexpected results gracefully.

Act

Autonomous execution: write code, trigger workflows, update databases, send reports - all without constant human oversight.

Our Services

Agentic AI Services We Deliver

Six specialised service lines - each designed to address distinct enterprise automation challenges with production-ready AI agents.

AI Agent Design & Development

Custom LLM-powered agents scoped to your exact workflows - from discovery and architecture through to production deployment and ongoing tuning.

LangChain AutoGen OpenAI / Claude RAG

Intelligent Process Automation

Multi-step business process automation with self-correcting, goal-driven agent pipelines that replace brittle RPA scripts with adaptive AI logic.

Multi-agent Tool use Power Automate n8n

Insight & Analytics Agents

Always-on AI agents that monitor your KPIs, surface anomalies, generate natural-language reports and push alerts before issues escalate.

Power BI Databricks Snowflake NL2SQL

Enterprise AI Integration

Connect agents to your ERP, CRM, data warehouses and legacy systems for seamless cross-platform orchestration with full audit trails.

SAP Salesforce REST / GraphQL MCP

Cloud-Native AI Deployment

Scalable, resilient agent infrastructure on AWS, Azure or GCP - with MLOps-grade monitoring, autoscaling and cost-optimised compute.

Azure AI AWS Bedrock Kubernetes Terraform

Responsible AI Governance

Built-in guardrails, bias testing, audit logs and compliance frameworks - ensuring your AI agents meet regulatory obligations in every jurisdiction.

EU AI Act ISO 42001 GDPR HITRUST

OPC-UA industrial server connecting directly to Grafana dashboard - DEFTeam plugin

Discovery & Use-Case Scoping

We run a structured workshop with your business and technical stakeholders to identify the highest-ROI automation opportunities and define clear agent success criteria.

Process mining across existing workflows

ROI modelling for each candidate use case

Data readiness and integration assessment

Agent Architecture & Prototype

We design the agent topology - tools, memory, planning strategy and orchestration layer - and build a working prototype within two weeks for rapid validation.

Tool selection: LLM, retrieval, code execution

Memory strategy: episodic, semantic, procedural

Human-in-the-loop design for critical decision points

Build, Test & Evaluate

Rigorous evals - accuracy, latency, cost, safety - with automated regression suites ensure agents perform reliably before a single byte hits production.

Automated agent evaluation frameworks

Red-teaming and adversarial testing

Benchmark against human-baseline performance

Production Deployment & Monitoring

CI/CD pipelines, observability dashboards and 24/7 alerting keep your agents performing at peak - with continuous improvement loops built in from day one.

Zero-downtime blue/green deployments

LLM observability: traces, token costs, latency

Monthly performance review and optimisation sprints

Industries We Serve

Built for Every Sector

Our agentic AI frameworks adapt to the unique data landscapes, compliance requirements and workflow patterns of each industry.

Financial Services

Fraud detection agents, regulatory reporting automation, real-time risk scoring and autonomous trade reconciliation.

Healthcare & Life Sciences

Clinical trial data agents, prior authorisation automation, pharmacovigilance monitoring and patient journey orchestration

Manufacturing

Predictive maintenance agents, supply chain exception management, quality control vision pipelines and production scheduling.

Retail & E-Commerce

Dynamic pricing agents, demand forecasting, personalised recommendation engines and autonomous inventory replenishment.

Logistics & Supply Chain

Route optimisation agents, last-mile delivery orchestration, port congestion prediction and carrier negotiation automation.

Public Sector

Benefits eligibility agents, permit processing automation, citizen query resolution and policy compliance monitoring.

FAQ

Frequently Asked Questions

Everything you need to know about our Agentic AI services.

What is Agentic AI and how is it different from a chatbot? +

Agentic AI systems autonomously perceive, reason, plan and execute multi-step tasks across tools and APIs - without needing a human prompt at every step. A chatbot answers a question once; an AI agent can research a topic, write a report, send emails and update a CRM record entirely on its own, looping until the goal is achieved.

How long does it take to deploy an AI agent? +

A working prototype typically takes 2–3 weeks. Production deployment with monitoring and governance takes 6–12 weeks depending on integration complexity. Our 90-day time-to-value commitment covers the full journey from scoping to live agents generating measurable results.

What LLMs do you use - and can we bring our own? +

We are model-agnostic and build on OpenAI GPT-4o, Anthropic Claude, Google Gemini, Meta Llama and open-source alternatives. If your organisation has negotiated enterprise agreements or requires on-premise models for data sovereignty, we integrate those seamlessly.

How do you ensure AI agent outputs are accurate and safe? +

Every agent ships with automated evaluation suites, confidence thresholds, hallucination guards and human-escalation triggers. For high-stakes decisions we implement mandatory human-in-the-loop checkpoints. Our Responsible AI Governance service also provides bias auditing, explainability reports and regulatory compliance documentation.

Can your agents connect to our existing enterprise systems? +

Yes. We have pre-built connectors for Salesforce, SAP, Microsoft 365, ServiceNow, Snowflake, Databricks and 40+ other platforms. For proprietary systems we develop custom MCP-compatible tool integrations as part of the engagement.

How is pricing structured for Agentic AI services? +

We offer three engagement models: a fixed-fee Sprint (prototype in 4 weeks), a milestone-based Build (full production deployment), and a retainer-based Scale (ongoing agent operations and optimisation). Contact us for a scoped estimate - discovery is always complimentary.

Ready to Deploy Your First AI Agent?

Book a 30-minute discovery call with our AI engineers. No sales pitch - just a candid look at where agentic AI can unlock the most value for your organisation.

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