Lower SaaS spend
Most assessments identify 15–30% in subscription savings, without losing functionality.
Most service businesses are paying for software they barely use, and missing tools that would actually move the needle. We give you a clear-eyed look at your stack and a plan to right-size it.
The average SMB pays for 30–50 SaaS subscriptions. A third are barely used, another third overlap with something else, and the remaining third would work better with a few configuration changes nobody has time to make. Meanwhile, the real gaps, the workflows that should be automated but aren't, go unaddressed.
A Technology Stack Assessment fixes that. We catalogue what you have, measure how it's actually used, surface the overlap, identify the gaps, and recommend a rationalized stack that fits your processes, not the other way around.
Most assessments pay for themselves in the first quarter through subscription consolidation alone. The bigger gains come from the workflow improvements.
Catalogue every tool: what it's for, who uses it, what it costs, where it integrates, when contracts renew.
Pull actual seat utilization and feature adoption. Surface what's underused, what overlaps, what's redundant.
Map your tools against your actual workflows. Where are people doing in spreadsheets what software should be doing?
A prioritised plan: what to keep, what to cut, what to consolidate, what to add. With renewal dates and a sequencing plan.
Most assessments identify 15–30% in subscription savings, without losing functionality.
Consolidating overlapping tools means fewer logins, fewer notifications, fewer "where does this live?" questions.
Tools that talk to each other, in the right direction, with the right data flowing through.
Negotiate from a position of clarity. Know which tools are load-bearing and which are easy to walk away from.
A structured review of every software tool a business is currently paying for and using. The assessment surfaces what's in the stack (including tools the owner doesn't know about), groups tools by functional category, identifies redundancy, scores each tool on adoption depth and integration position, and produces a prioritised rationalisation plan that consolidates the stack without disrupting team adoption.
Typical Canadian SMB service businesses end up with 30 or more tools through cumulative department-level decisions and can usually consolidate to 12 to 18, with material monthly savings and meaningful friction reduction.
Two-step audit:
Reconciling the two lists is where the interesting findings live. Detail in the article.
All functional categories used by the business. Typical service-business stacks cluster into roughly a dozen buckets: CRM / sales pipeline, project management, field / job management, accounting / billing, documents / playbooks, file storage, communication, forms / surveys, e-signature, time tracking, AI assistants, marketing / email.
Each tool is mapped to one functional category and assessed against the others in the same category for redundancy.
Almost never. The most common reason tech stack rationalisations fail is exactly this, forcing a "better" tool on a team that has already built habits around the tool you're replacing.
Our principle: don't shake the tree. Each consolidation decision considers adoption depth, integration position, and trajectory. The tool with deeper team adoption usually wins, even when the alternative is technically stronger, because migration friction often outweighs the technical advantage.
Direct subscription savings on rationalised tools usually land between 20% and 40% of current annual SaaS spend for a typical 35-person service business, depending on how scattered the stack is.
The bigger payoff is friction reduction. The team stops losing daily minutes to "which tool do I log this in" decisions. Reporting becomes possible because data flows through one source. Onboarding new hires no longer requires learning four different versions of the same workflow.
We assess them as a functional category alongside the others. Almost every team has multiple AI assistants in use, often on personal accounts.
The assessment surfaces: which AI tools are paid (and on which tier, consumer or business / enterprise), which are running on personal accounts (a data-governance concern), and what data is being put into which tools.
Recommendations typically include a single approved AI tool on a business-tier subscription with the no-training-on-your-data clause, plus an acceptable-use policy to formalise the boundaries. See AI-native knowledge hubs for the broader category context.
A stack assessment pays for itself, then keeps paying. Let's scope yours.