Generative & Agentic AI
Put assistants and AI agents to work on real tasks, from answering questions on your own documents to completing multi-step processes, with your data kept under your control.
Is this for you?
You might need this if…
Microsoft 365 Copilot licences have been bought, but few people use them beyond the occasional summary.
Employees spend hours searching intranets, shared drives and manuals for answers that already exist somewhere.
Customer service handles the same questions every day, and queues grow at peak times.
You want to use generative AI on confidential data, but sending it to a public service is not an option.
What we deliver
What it covers
AI assistants and copilots
We plan and roll out assistants such as Microsoft 365 Copilot, including permission clean-up, role-based use cases and adoption tracking. People use them for real work rather than trials, and assistants only see what each user is allowed to see.
AI agents for multi-step tasks
We build agents that carry out defined business tasks, such as handling a case, preparing a quote or updating records across systems. Each agent works within set permissions and hands over to a person where judgement is needed.
Enterprise knowledge search (RAG)
We connect a language model to your documents, policies and systems so staff get answers with references to the source. Existing access rights are respected, so people only find what they are allowed to.
Conversational AI for customers and employees
We design chat and voice assistants for customer service, IT support or HR that resolve common requests and pass complex ones to a person with full context. Customers get faster answers and your team handles fewer repetitive queries.
Content and document generation
We set up generation of proposals, reports, product texts and summaries from your templates, data and tone of voice. First drafts arrive in minutes, with human review built into the workflow.
Custom, fine-tuned and private models
Where off-the-shelf models fall short or data must stay in-house, we adapt open or commercial models to your domain and deploy them in your own data centre or private cloud. You keep control over data, cost and model behaviour.
Our approach
How we work
01
Select
We pick a use case with clear value and available data, and decide between ready-to-use tools and a private deployment.
02
Prototype
A working prototype on your own data, tested by real users against agreed quality criteria.
03
Harden
Security, access control, evaluation and monitoring are added so the solution is fit for production.
04
Adopt
Training, guidance and usage follow-up, so the solution becomes part of how people work.
Best practices
What we bring to every engagement
Ground answers in your sources
Retrieval with source references keeps answers traceable and reduces made-up responses.
Fix permissions before rollout
Assistants surface whatever users can access, so oversharing in SharePoint and Teams is cleaned up first.
Evaluate before and after launch
Test sets of real questions measure quality at every change, not only on demo day.
Keep people in the loop
Agents act within defined limits and ask for approval before steps that carry financial, legal or customer risk.
Pick the model per task
Smaller or private models often do the job at lower cost, with larger models used only where they add value.
Design for adoption
Use-case-based training and champions in each team matter more for uptake than the technology itself.
Outcomes
What you get
- A working assistant, agent or chatbot in production
- Knowledge search across your own content, with source references
- A deployment that fits your data rules: ready-to-use or private
- Access controls and logging aligned with your security policies
- An evaluation set and ongoing quality monitoring
- Trained users and adoption metrics
AI-powered
Unleash the power of AI
We offer the possibility of using AI throughout this work: ready-to-use AI tools, or a customised version built for your organisation that can run inside your own infrastructure. Because this service is itself about AI, we also use AI tooling to speed up delivery: generating test questions from your documents, scoring answer quality automatically and analysing usage logs to find where an assistant falls short. The choice of platform, and whether models run as a cloud service or inside your own environment, stays yours.
Starter offer
AI Assistant Pilot
A fixed-scope, six-week pilot that puts a working assistant or agent on your own data in the hands of real users, either ready-to-use or privately hosted.
Week 1
Scope
Choice of use case, data sources, success criteria and deployment option: ready-to-use or inside your infrastructure.
Weeks 2–3
Build
A prototype connected to your selected content, with access control and source references.
Weeks 4–5
Test
Pilot users work with the solution while we measure answer quality, usage and effort saved.
Week 6
Decide
Results, the cost of scaling and a production plan presented to management.
You receive
- A working pilot on your own data
- Evaluation results against agreed quality criteria
- An architecture and cost estimate for production
- A rollout and adoption plan
FAQ
Frequently asked questions
How long until we have something working?
A first prototype on your own data usually takes two to four weeks, and a production-ready solution typically two to four months, depending on integrations and security requirements. The AI Assistant Pilot is designed to give you a tested result in about six weeks.
Can it run without our data leaving the organisation?
Yes. Alongside ready-to-use cloud services, we can deploy open or licensed models inside your own data centre or private cloud, so documents and prompts stay within your environment. We help you weigh the trade-offs in capability, cost and maintenance.
How do you stop the AI from giving wrong answers?
We ground answers in your own sources with references, test against sets of real questions and monitor quality after launch. For sensitive tasks, a person reviews or approves before anything is sent or changed.
Who do we deal with during the project?
Altechy is your single point of contact. We bring in AI engineers and integration and security specialists from our partner network, and build on your existing platforms, such as Microsoft 365, Azure or AWS.
Related services
AI Strategy & Governance AI Engineering & MLOps Intelligent Automation Data & Analytics Microsoft 365 & Collaboration CRM & Customer Platforms
Let’s put AI to work for your people
Book a free 60-minute idea session. We explore your challenges and opportunities with you, and suggest where to start — with no obligation.