AI assistants and agents
Conversational assistants for your website, Microsoft Teams and internal portals, grounded in your own content and records.
Artificial intelligence · Microsoft ecosystem
Practical AI for the way your business already works.
We design, build and run AI solutions on Microsoft Copilot Studio, Azure and Dynamics 365. They connect to your data, follow your security rules and are judged against business results, not demos.
- Governance from day one
- Pilot before scale
- India & global delivery
Copilot StudioAssistants and agents
Azure AIModels, search, APIs
Power PlatformAutomation and apps
Dynamics 365ERP and CRM data
Capabilities
AI services across the full lifecycle
From deciding where AI pays off to running it in production, with one team accountable for the result.
Copilot for Dynamics 365
Get value from Copilot in Dynamics 365: data preparation, setup, prompts and role-based training for sales, service and finance.
Intelligent automation
AI inside Power Automate flows that classify requests, extract details, route work and trigger approvals.
Document intelligence
Read invoices, forms and contracts, extract the key fields and pass them to your ERP or CRM after a review step.
Knowledge search
Let staff ask questions across SharePoint, policies and manuals and get answers with the source shown.
AI-enabled analytics
Power BI with Copilot and predictive features, on a clean data model, so managers can ask questions of their numbers.
Custom AI applications
Purpose-built applications and APIs on Azure when an off-the-shelf tool does not fit your workflow.
AI strategy and governance
Readiness review, use-case prioritisation, roadmap and usage policy, so AI grows with control.
AI by team
Where AI helps in a working business
Typical use cases by team, each tied to a result you can measure.
Help sellers spend time selling, not typing.
- Update CRM records by chat in Teams
- Summaries of accounts and recent activity
- Draft follow-up emails from account history
- Flags for deals that have gone quiet
What we measureTime spent on data entry and speed of follow-up
Answer common questions fast and keep agents on harder cases.
- Website assistant for repeat questions
- Suggested replies and case summaries
- Routing and prioritising of incoming requests
- Search across help articles and manuals
What we measureFirst response time and questions resolved without staff
Cut manual handling of documents and approvals.
- Extract fields from invoices and bills
- Route approvals by amount and owner
- Summaries of overdue receivables
- Answers to policy and procedure questions
What we measureProcessing time per document and exceptions caught
Surface problems earlier and speed up routine requests.
- Summaries of stock and supplier status
- Alerts when orders or jobs go off track
- Triage of work and service requests
- Search across procedures and checklists
What we measureTime to resolve requests and delays spotted early
Give staff quick answers and reduce internal queries.
- Assistant for policy and leave questions
- Onboarding guide for new joiners
- Routing of internal requests
- Summaries of long documents and meetings
What we measureInternal queries handled without HR time
Technology
Built on Microsoft AI and data platforms
We pick the tool that fits the problem and your current licences, not the other way round.
Microsoft Copilot Studio
Build and publish assistants for Teams, websites and other channels.
Azure OpenAI Service
Language models running in your own Azure environment.
Azure AI Search
Search and retrieval across your documents and content.
Power Automate and Power Apps
Automation and simple business apps around the AI.
Dynamics 365 Copilot
AI features inside your sales, service and finance apps.
Power BI and Microsoft Fabric
Clean, shared data and reporting for AI-enabled analytics.
Engagement model
Start small, prove value, then scale
Four stages, each with a clear outcome, so you decide what comes next with evidence.
Readiness assessment
- Best for
- Teams unsure where to start
- You get
- Prioritised use cases, a data and licence check, and a roadmap.
Pilot
- Best for
- One use case worth proving
- You get
- A working solution, test results, success measures and a handover.
Scale-up
- Best for
- A pilot that has proved its value
- You get
- Wider rollout, integrations, user training and governance in place.
Managed AI support
- Best for
- Solutions already in use
- You get
- Monitoring, tuning, updates and new use cases over time.
Responsible AI
Control built in, not added later
Every solution has a defined job, limited access and a way for people to check and override it.
Data protection
Access follows the permissions you already manage.
We agree what each solution may read or change before we build.
Accuracy
Answers are grounded in your own content and records.
Solutions are tested on real questions before launch.
Human oversight
Sensitive actions can need a person to approve.
Assistants can hand a conversation over to your team.
Review and audit
We review live conversations and results after launch.
Usage can be logged to support your audit needs.
Industries
AI use cases by industry
Examples of where we see practical value. Each project is shaped around how your business actually runs.
Retail and e-commerce
Product and order questions, stock insights, returns handling
Manufacturing
Procedure search, maintenance request triage, quality reporting
Healthcare
Appointment and general enquiry assistant, document handling with human review
Education
Admissions assistant, student query routing, document processing
Financial and professional services
Document extraction, client summaries, internal policy answers
Real estate and construction
Enquiry assistant, site request routing, contract document search
Got questions?
Frequently asked questions
Where should a business start with AI?
With one clear problem, not a technology. We run a short readiness assessment to find the use cases with the best return, check your data, licences and security needs, and recommend a single pilot with a measurable goal.
Which platforms do you build on?
Mainly the Microsoft ecosystem: Copilot Studio, Azure OpenAI Service, Azure AI Search, Power Platform, Dynamics 365 and Power BI. We choose the tool that fits the problem and your existing licences.
Can AI work with our existing ERP, CRM and files?
Yes, wherever the system offers a way to connect, such as connectors, APIs or databases. We confirm what is possible, and what it needs, during the assessment.
How do you protect our data?
We design access around the permissions you already manage, agree in writing what each solution may read or change, and follow your organisation's security and compliance requirements. Sensitive actions can require human approval.
How do you deal with wrong or invented answers?
No AI is perfect. We ground answers in your own content or records, restrict what each assistant can do, test on real questions before launch, and review live conversations afterwards. Where the stakes are high, a person checks the result.
How do you measure success?
We agree measures before the build, such as time saved on a task, questions answered without staff, or processing time per document. The pilot is judged against them, and the results decide whether to scale.
Talk to us about your first AI use case
Tell us what takes your team's time today and which systems are involved. We will reply with a clear first step, not a generic pitch.