20+ YEARS OF SOFTWARE ENGINEERING EXPERIENCE

We engineer agentic AI that enterprises can put into production.

Engentic designs, integrates and operates autonomous AI agents and automated workflows on Microsoft Azure — with the governance, security and uptime an enterprise actually requires. Two decades of engineering discipline applied to the newest layer of the stack.

AI Engineering Automation Cloud Data Software
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Years engineering enterprise systems
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Service lines, one delivery team
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Human-in-the-loop by design

ENGINEERING

IT is more than a profession. It's engineering discipline.

We specialise in AI, DevOps, ERP systems, Microsoft Dynamics 365, Power Platform and Azure — engineering discipline and automated testing built into every engagement, not bolted on afterwards.

Engineering. Energetic. Agentic. That's Engentic.

Architecture, not guesswork

Every engagement starts with High-Level Design (HLD) and Low-Level Design (LLD) documentation — the blueprint before a single line of production code.

Security & good practice by default

Coding standards, security reviews and established good practice aren't optional extras — they're built into how we work, on every project.

ENGINEERING

WHAT WE DELIVER

Twelve service lines. One proactive team.

From the first workshop to day-two operations, filter by where you need us in the lifecycle. Click any card to see an example.

  • Automated testing, always
  • Code reviews on every change
  • Coding standards, good practices
  • Structured, consistent delivery approach
  • A pragmatic, energetic, proactive team
  • 20 years' rich experience
Build

Agentic AI

Autonomous agents that reason, plan and execute multi-step business workflows — digital workers built with human oversight, not blind automation.

  • Faster decisions
  • Fewer manual errors
  • Human stays in control
View example →
Build

AI Automation

Repetitive manual processes turned into automated flows across document processing, customer service, finance, HR, sales and operations.

  • Hours saved weekly
  • Consistent process
  • Full audit trail
View example →
Build

AI Copilots

Custom copilots, internal assistants, chatbots and knowledge assistants built for your organisation's data, tone and workflows.

  • Faster answers
  • Lower support cost
  • Faster onboarding
View example →
Integrate

AI Integration

AI woven into Dynamics 365, Microsoft 365, SharePoint, Salesforce, SAP, Oracle and the ERP/CRM and legacy systems already running your business.

  • No rip-and-replace
  • Works with your ERP
  • Less manual re-entry
View example →
Integrate

Azure & Cloud AI

Production-ready architecture on Azure AI Services, Azure OpenAI, AI Foundry, Functions, Container Apps and AKS — secured and built to scale.

  • Scales on demand
  • Lower cloud cost
  • Production-grade security
View example →
Integrate

Engineering & DevOps

AI-assisted development with CI/CD, GitHub Actions, Azure DevOps, test automation, observability and DevSecOps built in from day one.

  • Fewer bugs in prod
  • Faster releases
  • Automated testing built in
View example →
Integrate

Data & Analytics

Data platforms, pipelines and warehouses feeding Power BI dashboards, predictive analytics and machine learning that leadership can act on.

  • One source of truth
  • Predictive insight
  • Decisions backed by data
View example →
Integrate

Microsoft Apps

Dynamics 365 Customer Engagement and Finance & Operations, Power Apps, Power Automate, Power BI, Copilot Studio and Microsoft 365 Copilot.

  • Standardised reporting
  • Faster month-end
  • Less spreadsheet chasing
View example →
Govern

AI Strategy

Readiness assessments, opportunity discovery, technology roadmaps and executive workshops that turn AI ambition into a funded plan.

  • Clear roadmap
  • Funded business case
  • Board-ready plan
View example →
Govern

AI Governance

Human-in-the-loop approval, security controls, GDPR compliance, auditability and risk management built into every deployment.

  • Audit-ready
  • GDPR aligned
  • User approval on every decision
View example →
Build

R&D & Prototyping

Proofs of concept and MVPs that validate an idea in weeks, not quarters, before you commit budget to a full build.

  • Validate before you build
  • Lower risk spend
  • Weeks, not quarters
View example →
Operate

AI Operations

Monitoring, prompt optimisation, model evaluation and infrastructure management that keeps agents accurate and available long after launch.

  • Sustained accuracy
  • Proactive monitoring
  • No surprises after launch
View example →

HOW WE WORK

Building AI the engineering way. No guesswork.

Plugins
Bicep
Workflows
OAuth
Key Vault
CI/CD
Terraform
Azure Functions
Logic Apps
Service Bus
REST APIs
FHIR
SOLID
Angular
Unit Tests
TypeScript

HOW WE ENGAGE

From first conversation to long-term support.

Five stages, one accountable team the whole way through — with feedback and testing built into every step to maximise client satisfaction.

Exploration & PoC

A focused sprint to validate the idea, test technical feasibility and agree what "good" looks like — before any budget commits to a full build.

Design

Solution architecture, integration points, data flows and the governance model are defined — the blueprint the build phase works from.

Build

Engineering sprints with CI/CD, test automation and code review from day one — production-ready from the start, not a prototype stretched thin.

Go-live

A controlled rollout with monitoring, rollback plans and stakeholder sign-off at every gate — no surprises on launch day.

Support

Managed services keep agents accurate, secure and available, with performance data feeding continuous improvement back into the system.

TECHNOLOGY EXPERTISE

Why Engentic? — Innovative engineering.

We don't just use the enterprise stack — we track the innovation layer and engineer it into your systems properly, so you save time chasing what's new: OCR and document understanding, retrieval-augmented generation, agent orchestration frameworks and vector search, fitted to your architecture, not bolted on top of it.

ENGINEERING · INNOVATION · MODERN FRAMEWORKS · AND MUCH MORE

OCR & document understanding Retrieval-augmented generation Agent orchestration frameworks Vector search & embeddings
Content understanding services MCP servers & emerging AI integrations Hugging Face & other AI platforms Svelte/SvelteKit & modern JS frameworks

AI & Platform

  • OpenAI & Azure OpenAI
  • Azure AI Foundry
  • Semantic Kernel
  • LangChain
  • Model Context Protocol
  • RAG
  • Vector Databases

Microsoft Ecosystem

  • Microsoft Azure
  • Microsoft Copilot
  • Copilot Studio
  • Power Platform
  • Dynamics 365
  • Azure AI Foundry
  • Power BI

Cloud & Infrastructure

  • Docker
  • Kubernetes (AKS)
  • Red Hat OpenShift
  • Azure Container Apps
  • GitHub Actions
  • Azure DevOps

Languages & Data

  • Python
  • React
  • TypeScript
  • .NET
  • C#
  • FastAPI
  • SQL Server

PLATFORM

How to run a platform?

We monitor and log every agent, continuously: what it decided, what it escalated, how long it took. No black box — a live, inspectable dashboard from day one, not a quarterly report.

RESPONSIBLE BY DESIGN

Autonomy with an audit trail.

Full audit trails, compliance and approval gates — built in, not bolted on. Ask us how.

Human-in-the-loop approval GDPR compliance Security controls & IAM Auditability Risk management Responsible AI frameworks Git-based source control Infrastructure as code Encryption at rest & in transit

LET'S TALK

Tell us what you're trying to automate.

Bring us a process, a system, or a rough idea. We'll tell you honestly whether agentic AI is the right tool for it — and what production would take.

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