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Proposed hypothesis

Managed service providers and ITSM teams

Service desks and MSPs drowning in tickets, routing and reporting across tools that don't share a model.

Who we serve here · Proposed hypothesis

Who is involved, and what each person receives at the end.

Service desks and MSPs drowning in tickets, routing and reporting across tools that don't share a model.

User

Service desk lead

Needs: Routing and triage that cut handling time.

Doubt: AI agents acting without oversight.

Proposed deliverables · agreed in scope

  • • Agent-assisted triage with authority limits
  • • Runbooks and change process

Buyer

MSP owner

Needs: Margin per client without adding headcount.

Doubt: Another platform licence.

Proposed deliverables · agreed in scope

  • • An owned service platform
  • • Measured handling time against baseline

Affected

End clients

Needs: Faster, consistent answers.

Doubt: Being stuck with a bot.

Proposed deliverables · agreed in scope

  • • A clear human escalation path

Responsibilities, not a promised roster: economic buyer, process owner, user, technical approver and operator may overlap. Explore the Finance illustrative example →·MSP illustrative example →.

Our promise

We size every agent against an autonomy ladder and define its authority and evidence before it runs.

Holds when

  • • Ticket history is available for the baseline

Limits — what we don't promise

  • • Agents never close client-facing decisions without the defined human step
  • • No handling-time figure until measured

Before

Tickets bounce between tools; reporting is manual.

After

One service model with agents on routing and drafting, and humans on decisions.

What it takes from you

Ticket history export and desk shadowing.

Constraints we respect

Existing SLAs must hold during transition.

The experience

From first conversation to handover.

  1. 01

    Opportunity audit

    Ticket history and desk shadowing.

    Scoped quote

  2. 02

    Build and run

    Phased rollout with agreed service-risk limits and rollback

    Scoped quote

Evidence, labelled honestly

Context = portfolio direction, not operational acceptance · Proposed = our method, not yet proven for this audience · Unknown = we won't claim it yet.

Access we ask for — and how you take it back

  • • Read access to ticket exports
  • • Sandbox tenant for agent testing

Agree approved tenant, processing boundary, provider access and retention before using any client data.

Initial inquiry: non-sensitive summary only. Later assessment: authorised redacted samples or read-only access. Sandbox and production write access require separate approval, minimisation, access expiry and retention agreement.

Define, implement and test stop controls and revocation before use.

Something useful to pass along

A queue-by-queue autonomy map.

Useful to: Account managers explaining changes to clients.. Shared only if you choose to.

Why you'd come back: New queues and clients onboarded on the same model.

What we watch for harm: Escalations caused by agent errors.

Not a fit: Requests for fully autonomous client-facing agents with no human step

Next step

Tell us which of these people you are.

Request an assessment of fit and proposed next steps; timing, scope and follow-up require confirmation.