Knowledge is buried
Critical insights locked inside siloed systems and disconnected data sources — invisible to the people who need them most.
Agentic AI Practice
Beyond automation. Towards
Intelligent autonomy.
We build AI agents that connect enterprise knowledge to action. They reason across your data, use your tools, and automate operational work with clear controls.
The challenge
Enterprise knowledge is hard to use.
Data, documents, and operational workflows sit across disconnected systems. Teams spend time finding information, processing documents, and repeating tasks before they can act.
Operations are expensive
Manual workflows and repetitive tasks consuming time, budget, and talent that should be focused on higher-value work.
Decisions are delayed
Without real-time intelligence, leaders make critical decisions on outdated information — slowing growth and increasing risk.
What is Agentic AI
Solution that mines, decides, and acts for your business
Agentic AI pairs a powerful reasoning engine with your enterprise knowledge — continuously mining insights, reducing operational workload, and taking autonomous action to drive measurable business outcomes.
Reason
Mines your enterprise knowledge, decomposes complex operational problems, and plans multi-step actions — all without human prompting.
Act
Connects to your APIs, tools, and enterprise systems to execute tasks, reduce manual workload, and deliver outcomes autonomously.
Remember
Retains organisational knowledge, learned behaviours, and operational context across every session — getting smarter with every interaction.
Govern
Enterprise-grade guardrails, cost controls, evaluation frameworks, and full observability — built in from day one.
Use cases
Where agents help teams act.
Six ways connected agents can put enterprise knowledge to work across operations.
Autonomous customer operations
Agents that triage, resolve, and escalate across channels with full auditability.
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Intelligent document processing
Reasoning agents that extract, validate, and act on enterprise documents end-to-end.
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Sales & revenue copilots
Research accounts, draft tailored outreach, update CRM records, and schedule follow-ups.
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An agent can bring account context and recent interactions into one workflow, prepare a draft for review, then record approved activity in the CRM so the next step stays visible.
DevOps & SRE agents
Detect incidents, diagnose failures, restore service, and record what happened.
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Connect alerts, deployment history, and runbooks so an agent can investigate the likely cause, take approved recovery steps, and leave an incident record for the team.
Knowledge agents
Retrieve relevant records and answer questions with links to the source passages.
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Search across approved internal sources, surface the passages behind each answer, and make it easier for people to check the evidence before acting.
Supply chain orchestration
Forecast demand from stock signals, plan replenishment, and coordinate delivery.
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Combine demand and inventory signals to flag gaps early, propose replenishment, and pass approved plans to the systems that coordinate suppliers and delivery.
Our AWS AI stack
AWS services for production agents.
We select the services each system needs for search, reasoning, storage, and document processing.
Foundation model family
Amazon Nova
Frontier multimodal reasoning — purpose-built for fast, cost-effective agentic workloads at enterprise scale.
Intelligent enterprise search
Amazon Kendra
Natural-language retrieval across every system of record — turning siloed documents into instant, governed answers.
Native vector storage
Amazon S3 Vectors
Massive-scale embeddings on durable S3 storage — semantic memory for agents without the cost of a separate database.
Managed model platform
AWS Bedrock
Model-agnostic by design. Anthropic, Nova, Llama, Mistral and more — orchestrated through a single, secure API.
Custom ML & fine-tuning
Amazon SageMaker
Train, tune, and host domain-specific models — closing the gap between generic intelligence and your unique data.
Document AI
Amazon Textract
Extract structured signal from contracts, forms and scans — the connective tissue between paperwork and autonomous workflows.
How We Deliver It
From first conversation to autonomous operation.
A senior, hands-on delivery model — measured in weeks, not quarters — purpose-built to take agentic AI from blueprint to production with minimal disruption to your teams.
- 01
Discover
Week 1We immerse in your business — understanding goals, challenges, and where AI can create the most value.
- 02
Architect
Week 2We design your agentic AI blueprint — selecting the right AWS services, agents, and workflows for your needs.
- 03
Build & Deploy
Weeks 3–8Our engineers build, test, and deploy production-grade AI agents — fast, precise, and built to last.
- 04
Optimise
OngoingWe continuously monitor and improve your systems — ensuring they get smarter and more valuable over time.
Enterprise value
More capacity for higher-value work.
Connected agents can reduce repetitive work, improve response times, and make decisions easier to trace.
40–80%
Reduction in handling time
3–10×
Throughput on knowledge work
24/7
Always-on operations
100%
Auditable decision trails
Future-ready architecture
Built on a reference architecture for production agents.
Model-agnostic. Tool-rich. Observable by default. Our reference architecture brings together planning, memory, evaluation, and governance — so you ship agents you can trust.
Model & vendor agnostic
Bedrock, OpenAI, Anthropic, open-source — composable by design.
Safety & governance
Policy guardrails, evaluation, and red-teaming workflows.
Tool & API orchestration
Plug agents into your existing systems of record and APIs.