2027 is the year to be ready for buying assistants. An assistant can shape the shortlist before a buyer sees an advertisement, judge which sellers meet the requirement, and complete the purchase. That shift, from keyword search toward a decision shaped by the customer's specific needs, is a revenue opportunity.
The brands positioned for that year are the ones AI systems can understand, trust, and recommend. A strong advertisement can still earn a buyer's attention. Clear commercial facts give the assistant a reason to include the seller.
In B2B, an assistant can identify a replacement part from the equipment, the operating conditions, and the certifications the job requires. Verified information, such as manufacturer-provided specifications, certifications, and sourcing details, gives buyers and agents facts they can stand behind.
AI creates value when a measurable workflow, trusted data, clear escalation rules, and a human owner for exceptions come together. For marketing teams and business owners, the aim is a next decision that is easier to make, easier to defend, and more likely to improve a commercial outcome.
See the workflow clearly, then move
Write down how the workflow runs today, who owns it, what you measure, and which data sources the team uses. A clear picture of today's work turns a broad 2027 ambition into a specific place to begin.
Start with one workflow that already matters
When the commerce site and the systems around it are in good shape, a focused change in the right workflow is enough to run a meaningful pilot. Choose a request the team handles often, and an outcome you can measure. A strong first candidate is the time it takes to confirm whether a replacement part fits and is available.
Give the first release a clear boundary and a clear win. An assistant can confirm fitment and stock for one product family. A sales representative takes the cases that need a formal quote, a substitute part, or a delivery commitment. The team then has a real workflow to prove, a clear owner, and a definition of success.
Give the assistant facts it can trust
For that first workflow, name the system that owns each answer. The product information system can own specifications and compatibility. The warehouse system can own stock by location. When the workflow grows to include account pricing, name the system that supplies the price, and confirm the buyer is entitled to see it.
This is where Forbytes' AI readiness checklist adds a practical lens. Assess each use case on its own, define what the assistant can read or change, and test it with real questions that have known answers.
Design the handoff so the buyer keeps moving
Some requests deserve one more step. A buyer may share an incomplete model number. Two systems may show different stock positions. A technically compatible part may still need a required certification. Decide in advance which cases the assistant resolves with a follow-up question, and which cases go to a person. Give that person the buyer's request and the relevant records, so the conversation continues smoothly.
Build the test set from real customer requests, including the ones that take the most care. Measure answer accuracy, time to resolution, and whether the assistant brings in the right person at the right time. Compare those results with the current workflow. A narrow release is easier to test thoroughly, easier to explain, and clearer about what created the result.
Grow from a result you can stand behind
Once the assistant answers fitment and stock questions reliably, the next step can be another product family or a deeper capability, such as retrieving account pricing or preparing a quote. Each step opens more of the commercial motion. Preparing a quote, for example, can include checking contract terms, applying quantity breaks, and routing exceptions for approval.
Use ACRI to choose where 2027 starts
Arizon Digital's Agentic Commerce Readiness Index (ACRI) shows where the business is ready to move. It looks across six capability areas: product data and discoverability; pricing, quoting, and negotiation; platform and agent interfaces; the integration and data backbone; buyer experience and sales motion; and trust, governance, and operations.
Use the findings to choose a workflow worth proving, and to build on the strengths already in place. ACRI is a commerce readiness assessment. It gives the team a confident starting point for the year ahead.