🏢 Enterprise Tools

Microsoft Copilot in Your Stack

Copilot is embedded in Word, Excel, Outlook, Teams, and GitHub. For Microsoft-shop enterprises, this is the lowest-friction AI adoption path. The risk: shallow integration creates shallow outcomes.

• Microsoft 365 Copilot costs £25/user/month on top of Microsoft 365 licence.
• Copilot in Excel can generate pivot tables and charts from natural language.
• GitHub Copilot Enterprise adds codebase-aware completions — different from the personal tier.

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Google Workspace AI

Gemini is Google's answer: embedded in Gmail, Docs, Slides, Meet. Deep integration with Google Drive data. For Google-shop enterprises, the path to RAG over your docs is shorter.

• Gemini for Workspace costs $30/user/month on the Business tier.
• NotebookLM (Google) is the best product for RAG over your own documents — free.
• Google Meet AI summaries reduce post-meeting admin by ~25 minutes per meeting.

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Salesforce Einstein and Agentforce

Salesforce has embedded AI across CRM: Einstein predicts deal closure probability, Agentforce handles customer interactions end-to-end. The data advantage: Salesforce already holds your customer history.

• Einstein GPT is trained on 200+ billion CRM interactions.
• Agentforce can handle quote-to-cash workflows without human routing.
• Adoption caveat: AI CRM value requires clean, structured data.

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AI in Finance and Accounting

AI excels at accounts payable automation, fraud detection, cash flow forecasting, and month-end narrative generation. CFOs leading AI adoption are closing books in days, not weeks.

• Accounts payable AI (Tipalti, Stampli) automates invoice matching 80%+.
• AI fraud detection: reduces false positives 50% vs. rules-based systems.
• Narrative generation: AI writes first-draft management accounts commentary in minutes.

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AI in Legal and Compliance

Contract review, regulatory change monitoring, due diligence — all AI-ready. Law firms using Harvey AI review contracts 10× faster. In-house legal teams using AI reduce outside counsel spend 20–40%.

• Harvey AI is trained specifically on legal documents and case law.
• Contract Lifecycle Management (CLM) AI flags non-standard clauses automatically.
• GDPR compliance AI monitors data flows and flags new risk in real time.

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AI in HR and Talent

CV screening, interview scheduling, onboarding chatbots, performance review drafting — all AI-automatable. The risk: bias amplification if AI is trained on historically biased hiring data.

• AI-screened CVs reduce time-to-shortlist from 5 days to 2 hours.
• Onboarding chatbots (Leena AI) answer 90% of new-starter questions without HR involvement.
• Bias audit your AI hiring tools — UK Equality Act applies to AI-assisted decisions.

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AI in Customer Service

AI resolves 30–50% of customer queries without human agents. The best implementations combine AI speed with human escalation paths. The worst create frustrating dead-ends.

• Intercom Fin AI resolves 31% of support queries fully autonomously.
• AI reduces average handle time (AHT) for human agents by 20–30%.
• Customer satisfaction: AI resolves simple queries faster; complex ones need humans.

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Choosing an Enterprise AI Vendor

Evaluate on: security (data residency, SOC 2, GDPR), integration depth (does it connect to your stack?), model quality (benchmark on your actual tasks), and support. Avoid vendor lock-in where possible.

• Enterprise AI contracts average 2–3 years — do the diligence upfront.
• Data residency options: EU-only, UK-only processing is available from major vendors.
• Pilot before committing: require a 90-day proof-of-concept clause in contracts.