Instead of pursuing complex, open-ended consulting projects, partners can scale more effectively by creating productized, "turnkey AI" offerings for specific business units like legal or marketing. This approach lowers the adoption barrier for customers by delivering predictable results for a defined use case, making it easier to sell into departments or smaller businesses.
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To shift a services-oriented company to a product mindset, frame productization as a competitive advantage. Repeatable, productized solutions offer greater market differentiation than purely custom builds, leading to more effective competition and new deal wins. This tangible benefit helps secure buy-in from sales and leadership.
During a transformation from services to product, identify and commercialize the reusable tools that services teams have already built to support clients. Instead of starting from scratch, productizing these existing "mini-products" aligns them with the broader product strategy, saves development time, and leverages proven solutions.
Customers are hesitant to trust a black-box AI with critical operations. The winning business model is to sell a complete outcome or service, using AI internally for a massive efficiency advantage while keeping humans in the loop for quality and trust.
SaaS companies serving SMBs in non-tech industries can create a new revenue stream by offering a managed service—using humans-in-the-loop but framed as an "AI boost"—to run marketing campaigns for them. This provides immense value and captures more of the customer's budget.
Most successful SaaS companies weren't built on new core tech, but by packaging existing tech (like databases or CRMs) into solutions for specific industries. AI is no different. The opportunity lies in unbundling a general tool like ChatGPT and rebundling its capabilities into vertical-specific products.
Constantly delivering custom solutions is inefficient and destroys profitability. Instead, define a standardized, repeatable service package that can be sold and delivered consistently, maintaining high margins and simplifying operations.
Move beyond selling features by offering a "Business Process as a Service" (BPaaS) solution. This involves contracting directly on the business outcomes clients care about, such as cost savings or revenue optimization. This model delivers an end-to-end capability and aligns your success directly with your customer's, creating a powerful value proposition.
When leadership pays lip service to AI without committing resources, the root cause is a lack of understanding. Overcome this by empowering a small team to achieve a specific, measurable win (e.g., "we saved 150 hours and generated $1M in new revenue") and presenting it as a concise case study to prove value.
Creating a new product category is slow. The fastest path to revenue is building a superior solution that replaces an existing, budgeted expense. By positioning against the cost of an in-house team or a legacy service, the purchase becomes a simple replacement decision, not a new investment.