Agencies and service firms are being asked for AI capability by clients who cannot articulate what they want. Building it is expensive and outside most firms' competence. Reselling it is the obvious answer, and the economics are unlike traditional channel arrangements.
What makes these economics different
Marginal delivery cost is near zero. Adding your eleventh client to a platform costs almost nothing. Traditional services scale with headcount; this does not, which means margin expands with volume in a way service businesses rarely experience.
The capability is not the differentiator. Your competitor can license comparable capability next quarter. What you add — the industry knowledge, the client relationship, the judgment about what to do with the output — is the durable part.
Quality is bounded by the platform. You cannot out-execute the underlying engine. Choosing the platform is therefore a bet on someone else's roadmap, and it deserves the diligence of a hire rather than of a purchase.
The three ways to package it
Embedded. The capability makes your existing service better without appearing as a line item. Simplest, protects margin, and hardest to charge more for.
Productized. A named offering with its own price — a monthly market intelligence report, an automated intake service. This is where the economics work best: recurring revenue, near-zero marginal cost, clear value.
Platform access. Clients use the tool under your brand and you provide setup and support. Highest ceiling, and it converts you into a software business with the support obligations that implies. Most service firms underestimate this.
Most successful partners start embedded, move to productized, and approach platform access carefully.
The diligence questions
Before committing a client base to a platform:
What happens if the vendor fails? Can you export the client data and configurations? A platform holding your client relationships hostage is a business risk, not a vendor risk.
Who owns the client relationship contractually? Get it in writing. Some platforms reserve the right to approach your clients directly.
How does the vendor handle model changes? Their routing decisions become your output quality. Ask what happens when a model they depend on is deprecated.
What is the data boundary? Your clients' data, other partners' data, the vendor's training. Explicit answers, in the contract.
How does pricing scale? Model your economics at ten times current volume. Some structures that work at small scale invert at large.
Pricing your offering
The trap is cost-plus. Your cost is near zero and irrelevant to the client's decision.
Price against the alternative. What does the client currently pay for the outcome — in staff time, in agency fees, in the cost of not having it? A monthly market intelligence product that replaces a half-time analyst is priced against a half-time analyst, not against your platform fee.
Partners who price on cost leave most of the value on the table and train their clients to view the capability as a commodity.
Where partners actually fail
Not on technology. On the review layer.
The partners who succeed build a real process for reviewing output before it reaches clients, and they staff it. The ones who fail treat the platform as a vending machine, pass output through unreviewed, and lose a client the first time something is confidently wrong.
The margin from skipping review is small. The cost of a single bad delivery to a long-standing client is not.