Digital Adoption

Fragmented tools and manual steps become one operating environment, and your team runs it

Process maps and a solution architecture, systems configured to them, your data cleaned and migrated, the integrations between them, the automations on top, a governance model, an SOP for every process, training by role, and support through the period after go-live when adoption is actually decided.

  • Six stages
  • From $2,500
  • Scoped past go-live
  • Delivered under CDAP

Software implementation is one stage of six

Digital Adoption is the redesign of how your organization works, followed by the systems that support the redesign, followed by the work that gets your people operating them. A configuration delivered against an undefined process produces the same manual workarounds in a more expensive place.

The spreadsheet is the real system

Software was bought for the job, and the work still happens in a workbook somebody maintains by hand because the software was never shaped around the process.

You pay for the licence and the labour.

The same record exists in four places

A client sits in the CRM, the accounting system, a shared drive folder and an inbox belonging to whoever handled them last. Nobody can say which one is right.

Every report needs a person to reconcile it.

Nobody agreed what the process is

Two people run the same task two ways, both defensible, because the stages, the owner and the approval rule were never written down.

Work stalls at handoffs nobody owns.

The tools do not talk

Data moves between systems by export, edit and re-import, on a schedule that depends on somebody remembering.

The gap between systems is where errors live.

Permissions were never designed

Access was granted as people asked for it. Nobody can produce a list of who can see what, or who owns which application.

A question you cannot answer for an auditor.

The last rollout is still not used

A system went in, a training session happened, and six months later half the team is back on the old method.

A correct build that changed nothing.

Discover, Diagnose, Design, Implement, Enable, Stabilize

Each stage produces something written that you keep. The two after go-live are scoped and paid for like the rest, because they are the ones that decide whether the first four were worth doing.

  • 01

    Discover

    A written account of how the work runs today: processes, existing software, the spreadsheets doing a system's job, data sources, who owns what, reporting, integrations, and every place the same thing is done twice. You receive current-state process maps, a systems inventory, a pain-point analysis and a requirements register.

  • 02

    Diagnose

    The gaps, the duplication, the risks and the adoption problems in that account, named and ranked. This is where the reasons a previous rollout failed get identified, because they are usually still present.

  • 03

    Design

    How the process should run, settled before anything is configured: stages, ownership, approval rules, handoffs, required data, exceptions, notifications, escalations and reporting. Then the technology decisions that carry it, including which tools stay, which are replaced, and what becomes the system of record. You receive future-state workflows, business rules, a roles and ownership matrix, a solution architecture, an application map, an integration architecture and an implementation roadmap.

  • 04

    Implement

    The environment gets built to the design. Modules, fields, layouts, approval workflows, forms, portals, dashboards and the integrations between systems. Your existing data is inventoried, cleaned, deduplicated, mapped and migrated against a validation report, and the repeating work is automated with its exception handling defined. Roles, profiles, access levels and data-sharing rules are configured as part of the build.

  • 05

    Enable

    Your people can operate it without us. Training by role and separate training for administrators, a written procedure for every process the system now carries, user documentation, an administrator handbook, and an adoption plan with something measurable in it.

  • 06

    Stabilize and Optimize

    The engagement continues past go-live. Issue resolution, workflow corrections against what people actually do rather than what the design assumed, data-quality monitoring, usage measured against the adoption plan, and an enhancement backlog you own. A technically correct system that employees avoid is a failed implementation, so this stage is scoped rather than assumed.

Ten things, and none of them is a slide deck

Process maps
Current state and future state, for every process inside the scope.
Solution architecture
The system of record, what each application is for, and how they connect.
Configured production systems
Built to the design and running on your data, not a demo environment.
Migrated data
Inventoried, cleaned, deduplicated, mapped and migrated, with a validation report.
Integrations
Data moving between systems on its own, with the flows documented.
Automations
The repeating work running, each with its exception handling and monitoring rules.
Governance specifications
A permissions matrix, data and application ownership, and admin procedures.
SOP library
A written procedure per process, in language your team uses.
Training
By role, plus administrator training, with the sessions recorded.
Stabilization support
A defined period after go-live for issues, corrections and adoption monitoring.

Digital adoption comes before AI, and it is the larger half

Agents run against your data and your process. Where the process is undefined and the records are scattered across four systems, an agent produces confident wrong answers faster than a person could produce them by hand. The order below is the order the work has to happen in.

  • 01

    Digital Adoption

    The operational system gets established. Processes defined, one system of record, data structured and clean, integrations in place, governance written down. This page.

  • 02

    AI Adoption

    AI is introduced into that operating system, under rules your staff can follow and a record you can show an auditor. FusionGuard governs it and FusionBuild deploys the first workflow.

  • 03

    AI Operating System

    The work itself is redesigned so agents can execute parts of it, inside a department that runs as one environment with a monthly number against baseline.

Three bands. The scope sets which one you are in

Most clients start with the assessment and decide on the build from what it finds. Each figure below is maintained on the page it links to, so there is one place per number.

Process mapping and roadmap

$2,000 to $7,500

Discover, Diagnose, Design

How the work runs today mapped end to end, the systems and data behind it, every gap traced to its cause, a design for what it should look like instead, and the order to build it in. Enough to run the build with us or with anyone else.

  • Current-state process maps
  • Systems and data inventory
  • Future-state design and gap analysis
  • Roadmap and decision brief
See FusionMap

Systems build

$2,500 to $12,000

5 to 19 weeks

One system of record configured to the design, your data migrated into it, the tools connected, and the repeating steps automated. Training and go-live support included. A single team on a settled process is a fixed package at the low end. Anything with several departments, integrations or custom reporting is scoped after the mapping.

  • Configured production system
  • Migrated and validated data
  • Integrations and automations
  • SOPs and role-based training
See what gets built

Full environment

$12,000 to $40,000+

20 to 40 weeks

A whole department rebuilt as one environment rather than a single system. Finance, marketing, projects and document management brought onto one architecture with the governance underneath it.

  • Multiple systems on one architecture
  • Permissions and governance model
  • Dashboards and reporting layer
  • Stabilization period after go-live
See the operating system

Running it afterwards is a separate decision. Your own team can, which is what the SOP library and the administrator handbook are for. Managed Operations is there if you would rather it was ours, on a stated volume and turnaround, including on systems we did not build.

What digital adoption is, before what it costs

Digital adoption is the point at which software an organization owns is actually used, by the people it was bought for, to do the work it was bought to do. The distance between buying software and getting that is where most technology spending goes. These cover the discipline rather than the engagement.

What digital adoption is, and why the software category of the same name is a different thing

What is digital adoption?

The six stages as a discipline, what each one produces, and what breaks when one is skipped

How it works

Getting a team to use a system it has been given. The six levers, and why training is the fifth

How to drive adoption

The eight sections of a digital adoption plan, and the test of whether it is executable

How to build the plan

How we run the six stages on an engagement, and what you receive from each one

Our six-step approach

Whether this is the engagement you need

This fits if

  • Your team runs the business in spreadsheets alongside software you already pay for
  • The same record lives in several systems and nobody can say which one is right
  • A rollout happened, and the old method came back within six months
  • You cannot produce a list of who has access to what
  • You want AI in the operation and know the data is not ready for it

Start somewhere else if

  • The whole problem is one workflow rather than an environment. Go to FusionBuild.
  • Your systems are in order and what you want is demand. Growth Marketing runs on top of this rather than waiting for it.
  • Your team is already using AI and the risk is what they do with it. Go to FusionGuard.
  • You are not sure which of these applies. The readiness assessment takes about three minutes and answers it.

Asked on most first calls

What is digital adoption?

Digital adoption is the point at which software an organization owns is actually used, by the people it was bought for, to do the work it was bought to do. It covers the process design that comes before the software, the data and integration work that makes the software usable, and the enablement and stabilization work after go-live that decides whether people keep using it. Searching the term returns mostly digital adoption platform vendors, who use it to mean in-app guidance overlays. That is one narrow tool inside the discipline rather than the discipline itself.

How is this different from digital transformation?

Digital transformation changes what a business does and how it competes. Digital adoption changes how the work gets done inside it. Adoption is smaller in scope, faster, and applies to organizations with no transformation ambition at all. Most of what gets sold as transformation to a 40-person firm is this.

Is this just a Zoho implementation?

Zoho is what most of our clients end up on, and we are a Zoho Authorized Partner, so it comes up often. The decision about which tools stay, which get replaced and what becomes the system of record happens in Design, on the evidence from Discover. Clients have finished this engagement on Microsoft, on a mix of platforms, and on tools they already owned and were using at a fraction of their capability.

We already have the software. Do we still need this?

That is the common case. Most of the value is in the process design and the data work, not in the licence. A system nobody shaped around the process is the thing that produced the spreadsheets running alongside it.

How long does it take?

The assessment is two to six weeks depending on scope. A single systems build runs 10 to 19 weeks. A full environment across several functions runs 20 to 40 weeks. The stabilization period after go-live is agreed before the build starts and is typically 90 days.

What happens if our team does not use it?

That is what Enable and Stabilize exist to prevent, and it is the reason the engagement is scoped past go-live. Adoption is monitored against the plan, workflows get corrected against what people actually do, and the reasons a previous rollout failed are identified in Diagnose because they are usually still in the building.

Do we need this before we do anything with AI?

For agents doing real work, yes. An agent runs against your data and your process, so undefined processes and scattered records produce confident wrong answers at speed. Individual staff using AI for research and drafting is a different question and does not wait on this.

Can you work with our existing IT provider?

Yes. The Design stage produces an architecture and a roadmap written to be executed by whoever is executing it. Several clients have taken the roadmap and built it in-house.

Is this eligible for grant funding?

We have delivered this work under the Canada Digital Adoption Program as an approved Digital Advisor, including plans accepted by ISED. CDAP itself closed to new applications in 2024, so eligibility now depends on which programs are open in your province and sector when you start. We will tell you what we know at the point you ask.

Name the process that everyone works around

Thirty minutes is enough to hear how it runs today, say which stage you would start at, and give you a range. Bring the spreadsheet that keeps the real version of the data.

Book a discovery call