Why Now (Market Context)
AI adoption in the enterprise environment has accelerated: in recent surveys of large companies, 75% of employees report that AI improves their speed or work quality, with typical savings of 40–60 minutes/day per active user. Large-scale experiments (e.g., UK government) confirm productivity and satisfaction gains in real scenarios, not just in labs. Meanwhile, impact assessments show potential ROI for copilots in productivity suites. This context makes it timely to launch a specialized division to turn “pilot” benefits into measurable process-level results.
What the New AI Division Offers (Technologies & Integration)
- Intelligent chatbots for internal and external support: conversational assistants connected to organizational data (“on your data”) for accurate, secure, and auditable responses; integrated with existing channels (Teams, client portals) and access policies.
- Automatic document classification & information extraction: ready-to-configure intelligent document processing (IDP) pipelines for invoices, contracts, orders, emails; integrated with Power Platform/ERP/CRM.
- AI copilot modules for internal processes: content generation/summarization, in-app guidance, contextual automation for teams (finance, operations, sales, HR).
- Predictive analytics for operational activities: demand forecasting, predictive maintenance, anomaly detection; “closed loop” with automated actions in workflows.
- Advanced automations integrated with Microsoft 365, Power Platform, and existing apps: AI-accelerated low-code/no-code automations connected to current systems (ERP, ITSM, CRM), plus extensions to established automation platforms.
Benefits for Organizations (Suggested KPIs)
- Reduced processing times: automated sorting, document generation/summarization, smart routing → lower TAT and AHT in support and back-office. Real implementations report consistent daily time savings. OpenAI
- Elimination of manual errors: IDP + rule validations → reduced re-work and errors per 1,000 executions; audit trail for compliance.
- Increased team productivity: copilots reduce repetitive work (searches, formatting, summaries) and accelerate deliverables; independent studies estimate net positive output impact.
- Faster, clearer, more efficient processes: standardization + measurement; better adoption through conversational interfaces in daily tools (Teams/Office).
- Data-driven decisions: conversational access to enterprise data (“on your data”), visibility on metrics, and actionable predictions.
How We Deliver (90-Day Methodology)
0–30 days — Discovery & Business Case
- Process and data inventory; identify “friction points” for clients/employees.
- Select 2–3 high Impact/Effort cases (e.g., helpdesk, financial documents, reporting).
- AI “landing zone” architecture (identity/access, security, logging, DLP).
- Output: objectives/KPIs, compliance plan, initiative backlog, estimated TCO.
31–60 days — MVP & Integration
- Rapid implementation: conversational bot on internal data, one IDP flow, one copilot in M365/Teams.
- Connect with Power Platform and existing systems (CRM/ERP/ITSM).
- “Before/after” measurement on TAT/AHT, response quality, errors, satisfaction.
61–90 days — Optimization & Scaling
- Rightsizing/cost optimization, user training, governance (roles, policies, audit).
- Extension to new departments and automations, including AI-assisted testing and executive reporting.
Division Differentiators
- Secure “AI on your data”: responses from company knowledge, granular identity/access control, logging, and explainability.
- Low-code + enterprise automation: combining Power Platform (AI Builder, IDP flows) with established automation platforms to shorten time-to-value.
- Results-focused, not demos: all projects have clear KPIs (time, cost, quality, satisfaction) and a 90-day scaling plan based on proven programs.
Quick Initiative Examples
- Internal support (IT/HR): chatbot + smart routing + self-service → target -30–40% time to first response, increase FCR.
- Back-office documents: automatic field extraction + validations + archiving → error per 1,000 ↓, TAT per file reduced.
- Copilot for sales teams: draft generation, meeting summary, to-do; consistent time savings per user.
- Operational forecasts: demand forecast + actionable recommendations; fewer emergencies and immobilized stock.
Vision
The new division aims to democratize AI access for companies of all sizes with concrete, customized, and easy-to-adopt solutions. We combine conversational capabilities, document intelligence, copilots, and enterprise automation to create a complete chain: data → insight → action. Goal: measurable results in 90 days and a solid foundation for responsible scaling (security, ethics, compliance).
Note on Sources and Independence
We prioritized primary sources and reports: studies (Forrester TEI for M365 Copilot), real program reports (M365 Copilot experiment in UK government), Microsoft technical documentation (Azure OpenAI “on your data”, AI Builder/IDP), and automation platform insights (UiPath Autopilot) for scaling.
