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AI that scales delivery and revenue operations — not headcount
For SaaS, IT and engineering-services firms: AI inside delivery, support, sales and knowledge workflows, with customer-grade security.
Last reviewed: 29 September 2026
Faster
ticket resolution and first response
Hours saved
per proposal and security questionnaire
Knowledge
that stays when people move on
Typical target ranges, agreed at baseline.
Your clients expect AI productivity — in your pricing
Clients now assume that AI makes delivery faster and cheaper, and they negotiate accordingly. At the same time, knowledge is trapped in tickets, wikis and people’s heads, proposals and security questionnaires consume senior time, and every customer security review now includes questions about how you use AI.
- Clients expecting AI-driven productivity in prices and timelines
- Knowledge trapped in tickets, wikis and people
- AI questions now standard in customer security reviews
Where AI pays back in technology and services
| Use case | Business KPI | Platform |
|---|---|---|
| Support ticket triage and resolution drafting | Resolution time, first-contact resolution | Service desk, Salesforce |
| Proposal and RFP response assistance | Hours per response, win rate | Microsoft 365, knowledge base |
| Security questionnaire responses | Turnaround time | Knowledge base |
| Delivery knowledge assistants | Time to answer, onboarding time | Microsoft 365 |
| Revenue operations and CRM hygiene | Forecast accuracy, rep admin time | Salesforce |
| Governance and evaluation for customer-facing AI features | Incident rate, customer trust | Product stack |
The rules shaping AI in technology and services
Customer security requirements.
Security questionnaires and contracts increasingly require disclosure of AI use, data handling and subprocessors.
ISO/IEC 27001 and SOC 2.
Existing security certifications need AI-specific controls to stay credible.
EU AI Act — transparency.
Since 2 August 2026, certain AI features — for example, systems that interact with people or generate content — carry transparency obligations.
General-purpose AI.
Obligations for general-purpose AI model providers have applied since August 2025; firms building on these models should understand their providers’ terms and documentation.
Data protection.
GDPR and India’s DPDP Act apply to personal data processed in AI features and internal tools.
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See it in practice
Programs for technology and services firms
Platform ROI Recovery
Get value from Microsoft and Salesforce AI you already pay for.
Enterprise AI Transformation
AI embedded across delivery and revenue operations.
AI-Ready Data & Knowledge
Turn tickets, wikis and documents into trusted knowledge.
Questions from technology and services firms
Where do services firms see the fastest AI payback?
In knowledge-heavy, repetitive work: ticket triage, proposal and security-questionnaire responses, and internal knowledge search. These use cases have clear baselines and build the knowledge foundation for more ambitious work.
How should we answer customers’ questions about our AI use?
With a clear, documented AI policy, an inventory of AI systems and subprocessors, and evidence of controls. We help you prepare a standard AI section for security questionnaires and contracts.
We build AI into our product. Can you help?
Yes, with evaluation, governance and transparency: test sets, release thresholds, monitoring and documentation that satisfy customers and regulators.
Scale delivery without scaling headcount
- 30 minutes with a senior lead
- No sales script — a working conversation
- A clear view of where AI can pay back first