An AI strategy defines which work should improve, what a successful outcome looks like and who owns the result. A chatbot is one possible interface for that work. Installing one does not answer those questions.
The useful starting point is a stalled decision, a repeated handoff or information people cannot reliably find. Work backward from that problem. Sometimes the answer is an assistant. Sometimes it is a better form, a searchable content library or a small piece of ordinary automation.
The expensive mistake is buying a conversation when the business needs a completed task.
Start with the work that happens after the answer
“We need AI on the website” is a technology preference. “Customers cannot determine which product fits their application” is a problem you can investigate.
Ask what happens today, where people get stuck and what they must do next. A fluent answer has limited value if somebody still has to copy it into another system, chase missing information or correct an invented detail.
Measure the whole journey: completion, rework, time waiting for a person and the quality of the eventual decision. Conversation volume alone cannot tell you whether the workflow improved.
A short, well-designed form can outperform a chatbot when the user already knows what they need. A conversation becomes useful when people need help interpreting options or expressing an unfamiliar problem.
Choose the least complicated useful system
Three approaches are often blurred together:
- Deterministic automation follows explicit rules: validate a field, calculate a total or send an approved record to the right queue.
- An AI-assisted workflow uses a model for a bounded step, such as summarizing an inquiry, while code controls the process.
- An agent chooses its next steps and tools within assigned boundaries.
Anthropic makes a similar distinction between predefined workflows and model-directed agents in its December 19, 2024 engineering guidance. It recommends starting with the simplest workable solution and recognizes the cost and latency tradeoffs of agentic systems. The page now cautions that its tooling landscape has changed; the architectural distinction is what matters here. [1]
My recommendation: use an agent when the path genuinely needs adaptation. A fixed sequence of known steps does not become more valuable because a model gets to rediscover it every time.
The workflow choice card
This is an original editorial framework, not a validated scoring model. Before selecting software, complete five fields for one workflow:
- Job: What should the person accomplish?
- Truth: Which system or approved source determines the answer?
- Judgment: Which step involves language, ambiguity or changing circumstances?
- Commitment: Where does a suggestion become a consequential action?
- Finish: What proves completion, and who receives exceptions?
Then select the mechanism for each step:
| Step characteristics | Starting choice | Example |
|---|---|---|
| Clear inputs, stable rules | Deterministic code | Validate a customer number; calculate an approved price |
| Unstructured language, known destination | Bounded AI assistance | Summarize an inquiry for a review queue |
| Changing path, multiple useful tools | Constrained agent | Investigate an exception across approved sources |
| Authority, negotiation or irreversible consequence | Named human decision | Approve a commercial exception |
One workflow may use all four. That is usually more realistic than assigning the whole business process to a conversational model.
Lead intake: finish with a useful handoff
Illustrative scenario, not a DeCort client result: A visitor describes an integration problem without knowing its technical name.
An assistant can ask a relevant clarifying question and prepare a concise brief: the system involved, desired change, known constraints and missing details. It should preserve uncertainty instead of turning a guess into a fact.
Code handles required fields, duplicate prevention and routing. A person reviews ambiguous inquiries and decides what to promise.
The visitor should receive a clear confirmation and next step. The recipient should receive useful context, not a raw transcript to decipher.
Compare the resulting briefs with the existing form. Are they more complete? Do staff need fewer clarification cycles? Do visitors abandon the process because the assistant keeps asking questions?
If a revised form solves the problem with less friction, keep the form.
Enterprise knowledge: answer from maintained evidence
Illustrative scenario: An employee needs to find the current onboarding procedure buried among old documents.
A knowledge assistant can retrieve relevant material, explain it and link to the source. The underlying workflow still needs document owners, version signals and a way to flag missing or conflicting guidance.
Apply access restrictions before material reaches the model. Microsoft’s Azure AI Search documentation describes security filters that include or exclude documents using identity strings. It explicitly notes that the strings themselves do not authenticate or authorize the user. The application must supply trusted identity information and apply the filter to every query. [2]
A citation is a path to evidence, not proof that the answer follows from it. Test whether the cited passage supports the answer and whether newer guidance contradicts it.
If the corpus is small and terminology predictable, improved navigation or conventional search may be enough. Add conversational interpretation where it helps people resolve a real information problem.
B2B commerce: translate intent; preserve commercial truth
Illustrative scenario: An approved customer asks to reorder a previous purchase with a different delivery requirement.
AI can translate that request into a proposed product match and identify what needs clarification. Account eligibility, customer-specific prices, availability and shipping terms should come from the systems responsible for them.
WooCommerce distinguishes its WC REST API, used for store-data integrations, from its Store API for customer-facing product, cart and checkout functionality. Choosing the correct interface is part of the integration design. [3]
Those APIs are not a complete B2B solution. Customer pricing, ERP synchronization, freight rules and approval processes depend on the actual implementation, extensions and connected systems.
Show the proposed transaction clearly before confirmation. Route unsupported terms to a person. A product finder can be conversational while checkout remains a conventional, auditable sequence.
Keep the useful platform; change the weak step
A WordPress site can remain the publishing interface while a separate service handles a bounded AI task. WordPress documents REST API authentication with Application Passwords over HTTPS, providing a core integration mechanism. [4]
That mechanism does not supply a finished assistant or every business integration. Plugins, custom endpoints, application code and hosting each have distinct responsibilities.
A non-WordPress application can use the same approach: keep trusted records in their established systems and add assistance around a specific bottleneck. Replatforming should follow a demonstrated constraint, not precede every AI experiment.
Count the work you create, too
A pilot can reduce drafting time while increasing review time. Include model usage, integration maintenance, content upkeep, support and correction work when judging the result.
Record a baseline, test a narrow workflow and compare useful completions—not impressive demonstrations. Establish what would make you simplify, stop or expand the pilot before enthusiasm becomes a commitment.
The next planning session needs three questions: Which job is stuck? Which step benefits from interpretation? What must still follow a rule?
Answer those first. Then decide whether anybody needs to chat.
Sources
- Anthropic: Building effective agents — December 19, 2024; current tooling-change notice acknowledged.
- Microsoft: Security filters for trimming results in Azure AI Search — updated August 24, 2026.
- WooCommerce: Getting Started with WooCommerce APIs.
- WordPress: REST API Authentication — updated June 4, 2025.
Sources checked October 4, 2026.