Low Friction. Low Risk. Business-Case Discovery at No Cost.

Research, Business Cases, and Software That Pays for Itself

We start with a 15-minute discovery call, followed by a one-page brief and feedback session. We then present a business case that clearly defines the issue, opportunity, and path forward. This work is provided at no cost. Paid engagement begins only if you decide to move ahead.

How Clience Started

Founded in partnership with Queen’s University in 2023 through the Dunin-Deshpande Queen’s Innovation Centre.

The partners behind the method.

Clience began with mentorship, lectures, and operational support from Queen’s University, and was further shaped through hands-on work with institutions, firms, and private clients to become what it is today.

A Process That Pays for Itself

1. 15 minute discovery call. 15 min 2. One pager & feedback call. 30 min 3. Business case & decision call. 30+ min 4. Implement if the return is clear.

Minimal time from your side. Clear output from ours. We start with a 15-minute discovery call. From that initial conversation, we produce a one-page brief. One week later, we share it and hold a 30-minute feedback call. From there, we take 1-2 weeks to develop a fully researched business case, then present it in a 30+ minute review call. The final output clearly outlines opportunities, risks, responsibilities, next steps, and our recommendation. Everything up to that point is free.

Book Your 15-Minute Discovery Call
Your Time 1 hour 15 minutes
Timeline 2-4 weeks
Output Business case
Cost Free

We begin by clarifying whether the opportunity is worth pursuing. Only then do we define a plan that can be defended, funded, and acted on with confidence.

Selected work from recent engagements.

A small selection of engagements that show how Clience frames opportunity, sharpens judgment, and defines the right course of action.

Case Study 01 Smith School of Business

AI-supported project management concept for a stronger teaching experience.

Working with a professor at Smith School of Business, Clience helped shape an early concept for project management software designed to strengthen the teaching experience through AI. The engagement moved beyond documentation-heavy workflows toward a more deliberate operating model for academic delivery.

  • Partnered directly with a professor at Smith School of Business.
  • Designed an early-stage concept around AI-enabled teaching support.
  • Created a POC and provided next steps for implementation.
Case Study 02 Engineering Firm

A new product offering designed to help clients save a minimum of 2.8M+ per year.

For an engineering firm, Clience helped define how a new offering could be shaped inside the business to create meaningful client-side savings. The work centered on clarifying the opportunity until it could stand as a credible product rather than remain an internal idea.

  • Focused on product strategy rather than software alone.
  • Framed the offer around direct client-side financial upside.
  • Discovered a stronger commercial framing that created a more compelling offer.
Case Study 03 uOttawa Graduate Student Association

Assessment of whether custom development was a better alternative to Airtable.

Working with the general manager of the graduate student association at uOttawa, Clience assessed how the organization was operating its systems and whether custom development would be a better path than Airtable. The conclusion was that it would not be, given the need for non-technical staff to retain direct control over the system.

  • Reviewed how the organization was operating its graduate student association systems.
  • Assessed whether custom development was a better alternative to Airtable.
  • Concluded that custom development was not the right path under the operating constraints.

Additional work from clients may not be displayed because of privacy or security reasons, reach out for more information.

If the Decision is worth making, the return should be visible before implementing.

Clience is built for clients who do not want to commit to execution before the logic is clear. We define the objective, isolate the issue, and frame the right response before implementation begins.