Managed-service planning tool

Configure a practical managed service before procurement begins

Translate outcomes, scope, workload, coverage, controls, service levels, and commercial preferences into an indicative service model, staffing profile, governance cadence, and transition plan.

Transparent and non-binding. Results depend on user-supplied information. No external API or fabricated live data is used.

How it works

1. Define demand

Describe outcomes, scope, volume, complexity, roles, and dependencies.

2. Set conditions

Choose coverage, SLA, governance, security, compliance, and reporting.

3. Review

Assess effort, staffing, risks, assumptions, exclusions, and consultation questions.

Configure the service

1. Outcomes and scope
Desired outcomes *
In-scope activities *
2. Complexity, coverage, and capacity
Required roles *
3. Transition, tools, and dependencies
4. Governance, security, SLA, and reporting
Compliance and residency requirements
Do not enter passwords, secrets, personal data, or credentials.

Methodology, limitations, and responsible use

Methodology

Effort starts with a non-linear volume baseline, then adds scope, roles, tools, integrations, locations, languages, and dependencies. Multipliers reflect complexity, coverage, security, governance, and capacity.

How to use the result

Use it for an RFP, business case, vendor briefing, discovery agenda, or service design workshop. Validate demand, seasonality, rework, incidents, dependencies, and controls before fixing capacity or SLAs.

Limitations

The calculation excludes pricing and cannot infer hidden technical debt, undocumented processes, data sensitivity, stakeholder responsiveness, or change complexity.

Data-quality notice

Confidence reflects input completeness and complexity signals only. It is not a statistical prediction or guarantee.

Frequently asked questions

Is this a binding quote?

No. It is an indicative planning output requiring discovery and commercial validation.

How should volume be defined?

Use one consistent unit such as tickets, reports, pipelines, datasets, models, or cases.

Why use a non-linear volume factor?

It reflects some scale efficiency while retaining management, quality, and exception effort.

What does the risk score mean?

It is a planning indicator, not a certification or probability of failure.

What does confidence mean?

It indicates input completeness, not accuracy.

Can this configure 24×7 service?

Yes, but final design must define severity, on-call, handover, escalation, maintenance, and communications.

How should compliance be handled?

Map obligations to controls, evidence, owners, retention, access, incidents, subcontractors, and audit rights.

What is included in staffing?

An indicative role mix; seniority, shifts, location, leave cover, and segregation require further design.

Why is there an effort range?

It provides tolerance while rework, technical debt, exceptions, and dependency delays are validated.

Can I export the result?

Yes. JSON, CSV, and print outputs are generated locally in the browser.

Does the page store information?

No persistent storage is implemented.

What should happen before procurement?

Validate baselines, scope, ownership, systems, controls, dependencies, acceptance, SLAs, reporting, commercials, and exit provisions.