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