B2B product/platform

AI-assisted customer support

A growing B2B SaaS platform

Discuss an AI Advisory Sprint View all illustrative scenarios
1. Business situation

Pressure to add useful AI without adding a generic chatbot

A growing B2B SaaS company operates a workflow platform used by business customers. Customers and internal teams are asking for AI capabilities, but leadership does not want to add a generic chatbot simply because competitors are doing so.

3. Stakeholders examined

Product, architecture, and support leadership

  • Product leader
  • Engineering or architecture leader
  • Customer success or support leader
4. Representative information reviewed

Bounded product and workflow evidence

Product roadmap, support workflow, representative support cases, product documentation, customer requests, security requirements, and current platform architecture—within the standard Sprint limits.

5. Up to three candidate opportunities

Source-grounded assistance before autonomous action

  1. Generate support-answer suggestions grounded in approved product documentation.
  2. Summarize and classify incoming support cases.
  3. Recommend a next action or escalation path without executing it automatically.
6. Trust and governance boundaries

Tenant separation, traceable sources, and human approval

  • Preserve customer and tenant separation.
  • Do not use customer information for model training without authorization.
  • Show the supporting source for suggested answers.
  • Require human approval before sending responses or changing records.
  • Log AI-assisted recommendations and subsequent actions.
  • Do not present generated content as guaranteed correct.
7. Illustrative build/buy/partner/defer/avoid direction

Pilot a grounded support-answer workflow

Pilot
Source-grounded support-answer suggestions.
Build
Product experience, permissions, and workflow integration.
Buy
Appropriate underlying model or retrieval capability where sensible.
Partner
Specialized implementation or security capacity if required.
Defer
Autonomous case resolution.
Avoid
An ungrounded, open-ended chatbot disconnected from approved sources.
8. Illustrative post-Sprint 30/60/90-day path

Validate, pilot, then decide

The 30/60/90-day path is an illustrative roadmap the Sprint could recommend. It is not a promise that RayAI will implement the roadmap or achieve results within 90 days.

30 days

Validate the selected support workflow, success measures, and data boundaries.

60 days

Run a controlled internal pilot using representative, non-production information.

90 days

Review quality, source traceability, user adoption, and risks before deciding on a limited customer rollout.