AI LabsbyThe Ops ToolboxOps Toolbox

AI Labs by The Ops Toolbox

How we can help

We meet you where the programme actually is — whether you need alignment, a second opinion on a build in flight, or a six-week pilot with defensible metrics.

Worked examples and decision guides you can run in reviews and pilots — an evidence base from The Ops Toolbox.

Who we work with

Four stakeholder groups we see in almost every programme — often in the same steering forum.

Zendesk

COOs & operations leaders

Contact centre, field service, and internal ops assistants — with clear escalation and audit trails leaders can follow.

CTOs & platform engineering

Pattern choice across clouds, model routing, reliable long-running workflows, and standards product teams can reuse.

Risk, legal & compliance partners

Answers tied to approved sources, content safety checks, and workflows where each step has a clear owner.

Jira

Transformation & PMO leads

Structured discovery outputs, initiative charters, and pilots that connect workshop notes to delivery backlogs.

Engagement shapes

Pick the shape that matches your decision horizon — workshops, deliverables, and reference builds, not slide-only strategy.

  1. Transformation assessment

    1 to 2 weeks
    Atlassian

    Best for: Leadership alignment before funding pilots

    • Current-state map of data, systems, and AI ambition
    • Prioritized initiatives with metrics and dependencies
    • Recommended first pilot with scope boundaries
  2. Architecture & governance review

    2 to 3 weeks

    Best for: Teams with a build in flight that need a sober second opinion

    • Written review of diagrams, APIs, and policy posture
    • Workshop with engineering and risk stakeholders
    • Concrete change list, not vague “consider security” notes
  3. Pilot squad

    4 to 8 weeks

    Best for: Proving value on one workflow (support, ops, compliance Q&A)

    • Runnable pilot aligned to your identity and data boundaries
    • Weekly steering with business and platform owners
    • Scale playbook and handoff pack for your team to own
  4. Advisory retainer

    Ongoing

    Best for: CTOs and COOs navigating a multi-initiative AI program

    • Fortnightly office hours and async review of designs
    • Vendor and build-vs-buy sense-checks
    • Pattern library updates as your stack evolves

Indicative commercial shapes

Not a public rate card, scoped after a short intro call.

Transformation assessment

1 to 2 weeks · fixed scope

Best for: Leadership alignment before funding

  • · Stakeholder interviews and current-state map
  • · Prioritized initiative shortlist with metrics
  • · Recommended first pilot with explicit out-of-scope list

Architecture & governance review

2 to 3 weeks · fixed scope

Best for: Build already in flight; need a second opinion

  • · Written review of diagrams, APIs, and policy posture
  • · Facilitated workshop with engineering and risk
  • · Prioritized change list with owners suggested

Pilot squad

4 to 8 weeks · time & materials or capped

Best for: Prove one workflow end-to-end

  • · Runnable pilot in your tenant (or reference build in ours)
  • · Weekly steering with business and platform owners
  • · Handoff pack: runbooks, metrics baseline, scale playbook

Advisory retainer

Monthly · day-rate or hour bundle

Best for: Multi-initiative programs without full-time hire

  • · Fortnightly office hours and async design review
  • · Vendor and build-vs-buy sense-checks
  • · Pattern library updates as your program evolves
  • Reference implementations on this site are not a managed service, engagements are advisory plus targeted build support in your environment.
  • We do not resell model API spend; you keep direct relationships with OpenAI, Microsoft, AWS, and Anthropic.
  • Fixed-scope assessments and reviews are quoted after a short intro call; pilots are scoped to one workflow and success criteria.

Outcomes we repeat

Representative result patterns from assessments and pilots (anonymized).

Architecture review or 6-week pilot

Regulated policy Q&A with source citations

Financial services, insurance, and large HR policy estates

  • Citation rate above 90% on an agreed golden question set
  • Documented unknown-answer path when retrieval is weak
  • Quantified lift vs general chat baseline for audit

Pilot squad with steering forum every week

Operations assistant with human approval

Support, ITSM, and CRM-adjacent workflows

  • Read-only access in pilot; updates only after supervisor approval
  • Handle time improvement on covered intents with quality sampling
  • Incident and override metrics in the same dashboard as cost

1 to 2 week assessment

Portfolio prioritisation and council operating model

Medium and large programmes with many AI ideas

  • Single intake scorecard and capped active pilots
  • Named champions with protected time and enablement kit
  • Scale / pivot / stop decisions documented per pilot

Architecture review then pilot on one squad

Platform standards and model routing

CTO office standardising models, logging, and cost

  • Default model per task type with documented fallback
  • Structured logs and eval CI on prompt or index change
  • Cost per successful task visible to finance monthly

2 to 3 week review alongside build team

Security and privacy gate before production

InfoSec review before an AI assistant or document Q&A goes live

  • Evidence pack accepted by risk (diagrams, logs, quality checks)
  • Pen test on tool endpoints, not chat UI only
  • Runbook drill for disable-tools and human fallback

Workshop plus architecture review

Copilot coexistence and custom systems of record

Microsoft-centric enterprises with M365 Copilot licensed

  • Channel matrix: Copilot vs custom app vs human queue
  • Custom work scoped to CRM/ITSM updates and cite-only document sets
  • Aligned retention and safety rules across channels

Proof, not promises

Use Start here to pick a path, then browse worked examples for assistants, human approval, monitoring, document Q&A, and multi-step workflows, or read types of work. For broader operating system work, The Ops Toolbox covers diagnostics and scale-up playbooks.

Next step

Plan your next pilot

Worked examples and decision guides you can run in reviews and pilots — an evidence base from The Ops Toolbox.

Prefer the web form? The Ops Toolbox.

  • One workflow, clear metrics
  • Your cloud, your keys
  • Written handoff, not dependency