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.Digital Adoption
Digital adoption: fragmented tools become one 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.
Why the software did not fix it
You bought the system. The work still happens in the spreadsheet.
Configuring software against a process nobody has agreed on reproduces the same manual workarounds in a more expensive place. The process design before the build, and the work that gets your team onto it afterwards, are what decide whether anything changes. See whether any of these is your organization.
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 every handoff between them.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.How the engagement runs
Six stages, and you keep what each one produces
The last two are the ones most implementations skip. They are where adoption is decided, so they are scoped and paid for like the other four.
- Stage 01
Discover
We write down how the work actually happens today, including the spreadsheets quietly doing a system's job.
- Current-state process maps
- Systems and data inventory
- Pain-point analysis
- Requirements register
- Stage 02
Diagnose
Every gap, duplication and risk named and ranked, including the reasons the last rollout did not stick.
- Ranked gap list
- The cause behind each one
- Adoption risks, named
- Stage 03
Design
How the process should run, agreed before anything is configured. Then the technology decisions that carry it.
- Future-state workflows
- Business rules and ownership
- Solution and integration architecture
- Implementation roadmap
- Stage 04
Implement
The environment gets built to the design, and your data moves into it against a validation report.
- Configured production system
- Cleaned and migrated data
- Integrations and automations
- Roles, profiles and access rules
- Stage 05
Enable
Your people can run it without us in the room.
- Training by role
- Separate administrator training
- An SOP for every process
- An adoption plan with a number in it
- Stage 06
Stabilize
The engagement continues past go-live, because go-live is where adoption gets decided.
- Issue resolution
- Workflow corrections against real use
- Data-quality monitoring
- An enhancement backlog you own
What you own at the end
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.
If AI is what you actually came for
Do this first, or your agents run on records nobody trusts
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.
Price
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
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
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
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.
Proof
Two organizations, mapped and planned
Neither engagement started with a system in mind. Both interviewed the people doing the work first, and both produced a phased plan another implementer could pick up without re-scoping it.
Digital readiness for a law clerk firm
Critical data sat across standalone databases that did not communicate, routine tasks were handled by hand, and document management had no structure behind it. The assessment produced a transformation strategy across documents, workflows, data and reporting, with a phased rollout any implementation partner could pick up without re-scoping.
4 pillars documents, workflow, data, reporting Phased effort and cost mapped per stage
Read the case study Digital Adoption Plan for a specialty food manufacturer
A family-owned manufacturer running a new inventory system alongside the old one for validation. Staff across every functional area were interviewed, the full technology landscape was assessed, and the plan was approved by the client and accepted by ISED.
Grant approved CDAP funding released for the build Every department tools, systems and manual steps documented
Read the case study Understand it first
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.
Fit
Whether this is the engagement you need
The left column is the case for starting here. The right one names the engagement that fits better, so read it before you book anything.
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.
Questions
Asked on most first calls
Answered here rather than held for the call, so you can decide how far to take this before you speak to anyone.
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.