Services - Implementation
Implementation judged on adoption, not on go-live.
A system is only successful when the team uses it in preference to the spreadsheet it replaced. We implement Zoho, Odoo and GoHighLevel with design validated by the people doing the work, testing against real data, role-based training and a cutover plan that has a way back.
At a glance
- Platforms
- Zoho, Odoo and GoHighLevel, plus the integrations between them.
- Typical deliverables
- Documented configuration, test evidence, training materials, runbooks and a cutover plan.
- What helps most
- A named internal owner and access to the people who actually run the process.
Delivery
Seven phases from design to post go-live support.
Our recommended approach gives each phase an exit condition, rather than moving on because the calendar says so.
01
Solution design
Process design, data model, security model, integration points and reporting requirements documented and agreed before configuration starts.
02
Environment setup
Where the platform supports it, separate build and production environments with access control, naming conventions and a change log - so a mistake in build never touches live data.
03
Iterative configuration
Built and demonstrated process area by process area, with your team reviewing each increment rather than seeing the whole thing at UAT.
04
Integration and migration
Connections established and data brought across in trial runs, with reconciliation output produced at each attempt.
05
User acceptance testing
Real users running real scenarios against agreed acceptance criteria. Defects are triaged and either fixed or explicitly accepted before cutover.
06
Training and documentation
Role-based training on your configuration and your data, supported by written procedures your team can maintain afterwards.
07
Cutover and support
A documented cutover plan covering sequencing, freeze windows and rollback criteria, followed by a heightened support period scoped to the business cycle.
Risk
Five reasons implementations fail - and how each is countered.
None of these are technology problems. They are all planning and accountability problems.
01Configured against an imagined process
If the design was built from a workshop with managers only, the people doing the work will find it wrong on day one. We validate with operators.
02Tested with tidy sample data
Real data contains duplicates, missing fields and historical oddities. UAT that avoids them just defers the discovery to go-live week.
03Training delivered too early
Training three weeks before access is granted is forgotten by cutover. It is scheduled against the go-live date, then reinforced afterwards.
04No owner on the client side
Every implementation needs someone internal empowered to make decisions. Without that, scope drifts and sign-off never quite happens.
05Go-live treated as the finish line
The first weeks of live running expose what testing missed. A post go-live support period and a triaged backlog belong in the plan, not in a later conversation.
How we judge it
A system is only successful when the team uses it in preference to the spreadsheet it replaced.
Which is why design is validated by the people doing the work, and why go-live is a milestone rather than the measure.
Accountability
How responsibility is usually divided.
Agreed in scoping for each engagement, because unclear responsibility is what turns a delay into a dispute.
Typically our side
Delivery
- Solution design and documented configuration
- Integration build and migration execution
- Test planning, defect triage and evidence
- Training materials and delivery
- Cutover plan, rollback criteria and post go-live support
Typically your side
Decisions and adoption
- A named project owner with decision authority
- Subject matter experts available for design and UAT
- Business rules, pricing and policy decisions
- Data cleansing calls on your own records
- Reinforcing the new process after go-live
Scoping
How we keep scope honest.
Scope is set before pricing, not after
We define the process areas, integrations, migration objects and reports in scope. Anything outside is a documented change, agreed before it is built.
Phase one is deliberately narrow
Getting one complete process live and adopted is worth more than a broad rollout that everyone half-uses.
Configuration before customisation
Custom code is a last resort. It raises upgrade risk and support cost, so it needs a business case each time.
Planning an implementation, or rescuing one?
Both conversations start the same way: what was designed, what is actually in use, and where the gap sits.