Two ways to partner, deliberately different
There are two ways to partner with Sidekick Lab, and the right one for your practice depends almost entirely on what you want to own in the client relationship. The models are intentionally distinct. One is built for practices that deliver the work themselves. The other is built for firms that want to introduce Sidekick into client conversations without taking on delivery.
Both come with the same protections, the same access to the platform, and the same support during a first engagement. The difference is commercial structure and where your value sits.
The core principle: Sidekick exists to create work for partners, not to compete with them. Whether you resell or refer, your named accounts are protected and the services revenue Sidekick surfaces stays with you.
The two models at a glance
| Reseller | Referral | |
|---|---|---|
| Who leads the client | You do | Sidekick does, after introduction |
| Who delivers the work | You do | Sidekick does |
| Commercial structure | 20% discount off list price | 10% of ARR for 24 months |
| Your upside | Platform margin plus services revenue | Referral fee plus downstream pipeline |
| Best for | Practices with a data or AI delivery team | Advisors or specialists without delivery capacity |
The Reseller model
The reseller model is built for practices that already deliver data and AI engagements and want Sidekick to become part of that delivery. You lead the client relationship from the first conversation through to go-live and beyond. You sell Sidekick as part of your proposal, you run the Proof of Value alongside your team, and you handle the implementation and remediation work that follows.
Sidekick is sold to you at a 20% discount off list price. You sell to your client at list price or above, and you keep the margin. On a typical first-year engagement, that platform margin alone is meaningful — but it is not the main commercial story.
The bigger opportunity in this model is the work that Sidekick surfaces. Every data quality issue it identifies is a remediation engagement. Every use case it flags is a candidate AI project. Every compliance gap it surfaces is a governance scope. Most reseller partners find that the platform itself pays for itself quickly, and the real revenue comes from the work it creates downstream.
This model suits practices that:
- Have consultants who can run a Proof of Value, provision credentials, set up a pair of virtual machines, and translate Sidekick's outputs into client conversations
- Can hold a credible data governance or data engineering discussion with a CIO or CDO
- Serve clients in data-heavy or regulated industries — financial services, healthcare, mining, telecoms, logistics, insurance
The Referral model
The referral model is built for firms that have the right relationships but do not want to take on delivery. You introduce the client, Sidekick runs the engagement directly, and you earn 10% of annual recurring revenue for 24 months from the date the contract is signed.
There is no implementation overhead, no delivery risk, and no requirement to build a Sidekick competency inside your team. The trade-off is that you do not own the engagement commercially — Sidekick does — and the upside on services revenue belongs to whoever delivers the downstream work.
This model suits firms that:
- Have trusted relationships with CIOs, CDOs, or CEOs in mid-market or enterprise businesses
- Want a clean revenue stream without taking on delivery
- Do not have the technical bench to run a Proof of Value themselves
- Want to test the waters before committing to a reseller relationship later
Your client relationships are protected
One thing worth being explicit about: in both models, your named accounts are protected. Sidekick will not approach, pitch, or enter into commercial discussions with your named accounts without your written consent. That protection is written into every partner agreement and holds for 12 months after termination.
The intent is simple. Sidekick exists to create work for partners, not to compete with them.
How to choose
The clearest test is this: do you want to deliver the work that Sidekick creates, or do you want to point it at someone else?
If your practice already does data and AI work and is looking for a way to scope projects faster, win more competitive bids, and create new pipeline inside existing accounts, the reseller model is built for you. If you are an advisor, an agency, or a specialist whose value to clients sits in the relationship rather than the delivery, the referral model is cleaner and quicker to start.
The two models are not permanent states. Several partners begin as referrers, build familiarity with the platform through a couple of joint engagements, and move into a reseller relationship once they are confident in their ability to deliver. There is no penalty for starting small.
Getting started
The fastest way to work out which model fits is a short introductory conversation. From there, the path to a first joint engagement is typically four steps over 30 days: an intro call with the Sidekick team, signing the partner agreement, identifying two or three target accounts, and running a joint Proof of Value.
Talk to the Sidekick Lab partner team
Whether you want to resell Sidekick or refer it into your client base, the first step is the same — a short conversation to work out where it fits in your practice and which accounts to start with.