Shape
Design it properly before it scales badly.
Shape is where Servable designs the structure, governance, cloud architecture, cyber controls and AI rules before more operational mess gets added.
When Shape fits
Useful when the business has grown faster than the operating model.
This is normally the point where leadership can feel something is wrong but cannot yet see the full picture. Systems exist, but the design is unclear. Reporting exists, but nobody fully trusts it. Suppliers exist, but ownership is messy.
- Cloud, Microsoft 365 or network estate has grown without a clear architecture
- Cyber security is reactive and policy-led rather than control-led
- AI usage has started but nobody has defined safe boundaries
- Data sits in too many places and reporting takes too long
- Supplier contracts, licences and systems overlap
What we offer under Shape
Strategy with enough detail to actually be useful.
Technology operating model
Define how systems, suppliers, support, risk, governance and improvement should work together.
Cloud and infrastructure design
Microsoft 365, Azure, device, network, identity and backup architecture aligned to the business.
Cyber control design
Security baseline, access model, endpoint controls, vulnerability approach and audit evidence plan.
AI governance
Acceptable use, data handling, approved tools, prompt standards and workflow guardrails.
Data and reporting design
Define the dashboards, KPIs and evidence packs leaders need before building yet another spreadsheet.
Supplier and licence review
Untangle contracts, renewals, hidden dependencies, duplication and avoidable spend.
Problems Shape solves
Bad design is expensive. It just usually hides as day-to-day frustration.
The problem
Systems are being added tactically. Each decision may make sense in isolation, but together they create duplicated data, security gaps, reporting pain and unclear ownership.
What Servable does
We produce a clear future-state design, practical roadmap, priority risk list and operating model so the business knows what to keep, fix, replace, automate or govern.
Example: AI policy before AI sprawl
A business discovers staff are using personal AI accounts to summarise client documents. Shape defines approved tools, data rules, prompt standards, training and governance before a productivity gain becomes a confidentiality problem.
Example: cloud before cost creep
Licences, storage, backup and identity settings are reviewed together. The result is a cleaner Microsoft 365 model, better security posture and fewer monthly surprises.