A dependable delivery system. Capacity that adapts.

Routine shared-services work is billed at $22.50 per 15-minute unit, with no retainer or minimum. Senior/L3 work, projects, custom team pods and reserved capacity use separately agreed rates and terms. An included Client Solutions Manager sets the work up, a dispatcher assigns it across 80+ skill sets, and OpenBook flags the recurring work worth automating or fixing at the cause.

Better operations should benefit your budget.

We use the knowledge gained doing the work to simplify it. That can mean a better process, clearer ownership, a permanent fix or automation.

Own, understand, improve, release capacityA repeated operating cycle connects ownership and visible work to improvements, less manual effort and capacity for the next priority.1234Less effort.More capacity.Repeat the improvement.
  1. Own the work

    Named responsibility. Clear approvals. A reliable operating rhythm.

  2. Understand the effort

    OpenBook shows the work and spending. Your manager reviews what to improve.

  3. Make it easier to run

    Use business analysis, better processes, permanent fixes and suitable automation.

  4. Release the capacity

    Reduce shared-service consumption or redirect effort to the next priority.

The goal is lower effort and cost for the work being improved. New demand, expanded scope and projects can change total spending.

On-demand shared support

Pay for what you use. Stay because it works.

Bring in the skills your workload needs. Scale up, scale back, or stop shared services when you no longer need them.

On demand.

Use agreed expertise as work arises. Expand the mix as priorities change.

No monthly minimum.

No retainer or prepaid hours to use up. Pay for shared-service work performed.

No long-term lock-in.

Stay for the value. Your shared-service spend follows the work you need.

Visible work. Visible cost.

OpenBook reporting connects activity to effort and spending.

Need reserved capacity or a project team?

Combine shared services with dedicated resources or a scoped project. Each has clear capacity, delivery and notice terms. Response commitments and access are agreed before handover.

Stronger operations. Less dependency.

The knowledge becomes part of the solution.

Repeatable work is captured in an SOP library on your network. Existing task documentation is verified for accuracy. Confirm customer access, storage, ownership and handover for the library; documentation work is billed as part of delivery.

  1. Make delivery repeatable

    Document steps, ownership and controls so work can be understood and handed over.

  2. Improve with the people doing the work

    Validate changes with users and technical owners. Preserve the context your business depends on.

  3. Make operating knowledge usable

    Capture inputs, decisions, exceptions and approvals with the procedure. Review it with the people who use it and keep it current.

The operating principle

A stronger customer. A more useful partner.

Work alongside your people. Transfer knowledge. Make runbooks usable by the people who will operate the environment.

Define customer access, ownership and handover of documentation and automation in the engagement, so continuity is designed in from the start.

See a relationship adapt over time →

Improvement in practice

Less routine checking. Attention when it matters.

Daily-check automation · Reported resultLess handling. More attention for exceptions.
67%less reported handling time
Before automation90 minutes
After automation30 minutes

Average daily-check ticket handling reported in a December 2021 customer review: 1.5 to 0.5 hours. Percentage rounded; this measures handling time for that workflow, not total support spending. Customer anonymous.

Read the operating evidence →

Hand-tool manufacturer · 2021–2022 delivery reviews

1.5 → 0.5 hours

Reported handling time for daily-check tickets after automation was activated in December 2021.

January reviews describe charging for human intervention when a check found a problem, with no charge for healthy automated checks. A March review reports no monitoring charge and five daily-check issues resolved.

The operating benefit: less time spent on routine checking, with human attention directed to exceptions. The reported result applies to this workflow and period.

See how the work changed →

From operating knowledge to AI

Build AI on a process your people can explain.

A useful end product of support is a better-understood business: how work moves, what data it needs, where decisions happen and what to do when something goes wrong.

That knowledge helps your team identify where AI can retrieve an answer, draft a response, classify an exception or assist a task—and where a person must decide. Rule-based automation may be the better answer for predictable work.

  1. Understand

    Map the workflow, its business purpose, inputs, systems and exceptions with the people doing it.

  2. Document & control

    Maintain documented procedures your team can use, named owners, access permissions, approval rules and current data definitions.

  3. Test a useful task

    Choose a bounded use case. Test normal and exception cases against an agreed baseline. Review AI output before consequential action.

  4. Operate & improve

    Monitor accuracy, effort and business results. Keep a human escalation path, a fallback and an owner for updates.

For example, an AI assistant could draft the explanation for a failed invoice using approved procedures. A person checks the facts and authorizes any correction; established controls govern the ERP transaction. This is an illustrative use case, not a reported customer deployment.

Documentation is one part of readiness. Data quality, integration access, security, testing and accountable business ownership also determine whether a use case is ready. We scope AI work against your environment and approved tools.

Clear commercial boundaries

Choose the commitment the work needs.

Shared services

Pay for work performed. No minimum spend, retainer, prepaid hours or long-term commitment. Scale back or stop by email without notice or termination fees.

Dedicated resources

Reserve people in advance for sustained demand. Confirm the commitment and ramp-down arrangements for that capacity.

Projects

Define the outcome, scope, estimate, dependencies and delivery commitments. Shared-service exit terms and response SLAs do not replace the project agreement.

Your relationship manager is included at no additional charge. Meet as often as needed to review bills, priorities, automation and advice, using Microsoft 365/Teams or the collaboration tools your team uses.

SOP creation, verification and automation design, development and implementation are billed as work performed. Decide together where the SOP library is stored, who can access and maintain it, and the ownership, reuse and handover rights for documentation and automation in the engagement.

Find the work worth taking off your team.

Start with a real workload. Define what to hand over, what to improve and how to measure whether the model is working.

Book a working session

Understand the arrangement before you start.

How does this model reduce operating effort?

The team studies the work it performs, documents repeatable processes and identifies permanent fixes, process improvements and suitable automation. When less human effort is required for shared work, consumption can fall or capacity can be redirected. New demand can still increase total spending.

Are management and automation implementation included in the same way?

Your Client Solutions Manager and review meetings are included at no additional management charge. Documentation and automation design, development, testing and implementation are delivery work billed under the agreed terms and budget.

Does documented support make an operation ready for AI?

Documentation creates useful process context, but readiness also depends on data quality, approved access, controls, representative testing and accountable human oversight. AI work is scoped to the customer environment and an agreed use case.