Generative AI
for businesses
GenerativeGenerative AI grounded in your own business data.
DATA_CLUSTERS: OPTIMISED
INCIDENT_RESPONSE < 90 SECS
DELIVERY_RATE = EXCEEDED
The obstacles generative AI for business hits after the pilot
Generative AI promises faster answers, yet many organisations meet the same obstacles once the proof of concept ends.
30%
Pilots that go nowhere
Proofs of concept often prove the idea but not the value. Gartner predicted at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, citing data quality, risk, cost or unclear value.
Gartner, Generative AI predictions, 2024. Click Here
78%
Staff using AI we don't control
When there is no approved option, people find their own, and company information goes into unvetted services. Microsoft and LinkedIn’s 2024 Work Trend Index found 78% of AI users bring their own tools to work.
Microsoft & LinkedIn, Work Trend Index Annual Report, 2024. Click Here
12%
Answers built on weak data
Generative AI is only as accurate as the information it draws on. In Precisely and Drexel University’s 2025 Outlook, just 12% of organisations said their data had sufficient quality and accessibility for AI.
Precisely and Drexel University, 2025 Outlook: Data Integrity Trends and Insights, 2024. Click Here
Most of these are solved before the first prompt is written, with sound data and clear guardrails.
Introduction
Practical use cases, grounded in your own data
Generative AI creates text, summaries or answers in natural language, drawing on your own business data rather than the open internet. Cybit builds generative AI solutions on top of governed platforms such as Qlik and Microsoft 365 Copilot, so responses are accurate and traceable back to a source. Businesses need this to make information easier to reach for people who aren’t data specialists.
Our Delivery Framework
Why Choose Cybit
We added OpenAI capability to Qlik for The Rudd Group so non technical staff could ask questions in plain English and get answers backed by real data, not guesswork. That grounded approach, data first and generative layer second, is how we bring generative AI into your business responsibly. Ask us for an honest view of where it will and will not help.
Our Process
Assess
Understand where you are today, identify opportunities for improvement and build a clear picture of your technology landscape
Advise
Turn insight into action with expert guidance and recommendations based on your business goals
Deliver
Implement solutions that create measurable impact and lasting value
Support
Our proactive management, ongoing optimisation and expert support keeps your tech performing at its best
What's Included
Use case assessment across the business
Data grounding so answers come from your systems, not the open internet
Build on governed platforms including Qlik & Microsoft 365 Copilot
Source citation so every answer can be traced back
Access control aligned to existing permissions
User enablement and prompt guidance for non technical staff
Data
What the Analysts Say
Gartner predicted in 2023 that more than 80% of enterprises would have used generative AI APIs or deployed generative AI applications by 2026, up from under 5% in 2023. That horizon has now arrived, and the question has moved from whether to adopt to whether the answers can be trusted.
Gartner press release, 11 October 2023, analyst Arun Chandrasekaran. Click Here
Helpful Information
Frequently Asked Questions
Generative AI creates text, summaries and answers in natural language. In a business context it draws on your own governed data rather than the open internet, so responses are accurate and traceable.
No. Deployments are built on enterprise platforms where your data stays within your tenancy and is not used to train the underlying model.
By grounding it. Responses are generated against your own data with a citation back to the source, so a user can check the answer rather than trust it blindly.
Most reliably where people currently spend time looking for information that already exists. It helps least where the underlying data is poor, which is why the data work comes first.
Give them an approved alternative that is genuinely useful, then set clear policy around it. Microsoft and LinkedIn's 2024 Work Trend Index found 78% of AI users bring their own tools to work, which usually signals that the sanctioned option is missing or falls short.
Solutions
Related Solutions We Can Help With
Agentic AI
Introduce governed AI agents that automate multi-step tasks while keeping people in control of key decisions.
Self-Service Analytics
Empower your teams to access trusted insights through intuitive dashboards and reporting, reducing reliance on IT and speeding up decision-making.
Microsoft Ecosystem
Get more value from Microsoft 365 and the wider Microsoft ecosystem through expert licensing, governance, optimisation and support.
Enquire Now
Let's Make Technology
Work for You
Whether you're scaling up, securing your data, or transforming your digital workspace – Cybit is your partner for strategic IT solutions.
Our Partners
From Insight To Impact
