Short answer
SaaS selection and integration consulting starts from a requirements list, not a product list: the same example process is tried in the shortlisted tools, total cost is calculated and the chosen tools are connected by a data flow. Data migration is first trialled with sample data.
Requirements before product lists
Define roles, daily tasks, reports, data needs and integration requirements. Separate mandatory capabilities from preferences before scoring tools.
Compare the same workflow
Trial the same task across shortlisted products. Check permissions, exports, APIs and total cost against current official documentation. Untested features should not be presented as verified.
Plan migration and ownership
Choose an authoritative source for each field. Define identity matching, duplicates, synchronisation direction and recovery. Rehearse migration with sample data.
What you receive
A requirements matrix, reasoned shortlist and integration or migration plan support the decision. We define implementation steps to adapt the selected tools and connect them with your existing systems.
When a new tool is not needed
If the existing tool meets the need through configuration, a new product and migration cost are unnecessary. If the need is very specific, a custom solution may need less adaptation than connecting ready-made tools; see Buy SaaS or build your own software? for that.
How we work
User roles, workflows and integration requirements are mapped. The shortlisted tools are tried on the same example process and total cost is calculated. For the chosen tool, data field mapping, sync direction and a migration plan are prepared; the migration is carried out after it has been trialled with sample data.
Frequently asked questions
Questions we often get about choosing and integrating SaaS tools.
Do you recommend a specific product?
We have no pre-selected product. After building a requirements matrix and trialling the shortlisted tools, we give a reasoned recommendation.
Do you connect the tools we choose?
Yes. We set up the data flow through APIs and webhooks, defining identity matching, synchronisation direction and error handling.
Is there a risk of losing data during migration?
Every migration carries risk, which is why we trial it with sample data first, prepare a reconciliation plan and define a way back where needed.
Can we improve our current tools instead of buying new ones?
Often, yes. We first check what the existing tool can solve through configuration, and only recommend a new tool or integration if there is a real gap.
