SmartBrain

The Agency Handoff Document: What to Deliver When a Conversational Commerce Build Goes Live

2026-07-07 · conversational commerce, agency handoff, ecommerce automation, chatbot launch, DM automation

What is a conversational commerce handoff document?

A conversational commerce handoff document is a structured deliverable an agency gives to a client at the end of a build. It covers how the system works, who owns what, how to make changes safely, and what to do when something goes wrong. It is not a manual — it is an operational contract written in plain language.

For most agencies, this document is an afterthought. For the clients who receive a well-built one, it is the difference between a tool they use confidently and one that sits untouched six months after launch.

Why does a conversational commerce build need its own handoff format?

Standard web project handoffs cover CMS credentials, DNS records, and a staging-to-production checklist. Conversational commerce builds require more because the system is live, dynamic, and connected to real inventory and real customers at the same time.

When a shopper sends a message asking for a product under $40 that ships in two days, the recommendation engine queries your catalog in real time. If the catalog feed breaks, if a product goes out of stock without a flag, or if a flow triggers the wrong branch, the customer gets a bad answer — or no answer. The handoff document is what tells the client's team how to catch that before it becomes a support ticket.

Builds on platforms like SmartBrain add a layer of complexity that older chatbot handoffs did not need to address: the server-side recommendation logic. The AI writes the copy; the engine decides which product fits. That separation means there are two systems to document, not one.

What sections must every handoff document include?

1. System architecture in plain language

Describe each component and what it does in one sentence. Example: "The catalog sync runs every four hours via a scheduled job on the client's Shopify store. It writes to a product table that the recommendation engine queries at conversation time." No acronyms without definitions. No architecture diagrams without a legend.

2. Credential and access inventory

List every login, API key, webhook URL, and third-party integration. Include who owns it (client vs. agency), where it is stored, and the rotation policy. If the agency holds a key on behalf of the client, note the transfer date or the arrangement clearly. Ambiguity here is how agencies get blamed for outages they did not cause.

3. The recommendation logic and its constraints

This is the section most agencies skip, and the one clients ask about most often after launch. Document the rules the engine follows: minimum stock threshold before a product is eligible, price ceiling logic, how ties are broken, what happens when no product matches. For a SmartBrain deployment, this means writing down the server-side rules in business language so a non-technical marketing manager can understand why a product was or was not recommended in a given conversation.

4. Conversation flow map

A flat list of flows with their trigger conditions. Include the entry point (keyword, button tap, or direct message opener), the branching logic, and the exit states. Note which flows are active, which are paused, and which are drafts. If a flow depends on a seasonal promotion, note the start and end dates and who is responsible for toggling it.

5. Known limitations and edge cases

Every build has them. Document the ones you found during QA. Example: "If a user types a product name that contains a special character, the search returns zero results. Workaround: the flow prompts the user to describe what they are looking for instead." Clients who know about edge cases before launch handle them calmly. Clients who discover them from a customer complaint do not.

6. Escalation and human handoff rules

Define the exact conditions under which the conversation is transferred to a human agent: unanswered intent after two attempts, a refund request, a complaint keyword, or a product question outside the catalog scope. Include the queue or inbox where escalations land and who monitors it.

7. Monitoring and alert setup

List every alert that is configured and what it monitors. Catalog sync failures, webhook timeouts, conversation drop-off above a threshold, zero-result queries spiking. Note where alerts are sent and who is responsible for acting on them. If no alerts are configured, say so explicitly and recommend a minimum set.

How does a conversational commerce handoff differ from a standard chatbot handoff?

A standard chatbot handoff documents a decision tree. The answers are fixed. The handoff is mostly a flow diagram and a list of copy strings.

A conversational commerce handoff documents a live system connected to real inventory, real prices, and real customer data. The answers change every time the catalog changes. That difference has practical implications:

The handoff document for a conversational commerce build must therefore include explicit guidance on what the client's team should not touch without agency review, and a clear process for requesting changes.

What does a good change-request process look like post-launch?

Include a one-page change-request template in the handoff. It should capture: what the client wants to change, why, which flows or rules it affects, and who approves it. For catalog-level changes, a short QA checklist is useful — test at least one conversation that surfaces the affected product category before pushing to production.

For teams running SmartBrain, this process should also specify who updates the server-side recommendation rules when the client adds a new product line, runs a flash sale, or changes their inventory threshold policy. These are not copy edits — they are logic changes, and they need a defined owner.

Frequently asked questions

How long should a handoff document be?

Long enough to be complete, short enough to be read. For a mid-complexity conversational commerce build, ten to fifteen pages is typical. Use a table of contents. Put the most operationally critical information — credential inventory, escalation rules, and monitoring alerts — in the first half.

Should the handoff document include training for the client's team?

Yes. At minimum, include a one-hour walkthrough session and record it. The document supplements the walkthrough; it does not replace it. For larger client teams, a short written guide for each role (marketing, support, operations) is more useful than one long document everyone ignores.

Who owns the document after handoff?

The client owns the document. The agency should keep a copy for their records. Define in the document who is responsible for keeping it updated as the system evolves. A handoff document that is accurate on day one and outdated by month three is a liability, not an asset.

What if the client wants to switch platforms after launch?

A well-written handoff document makes migration significantly easier. If the recommendation logic, catalog schema, and flow triggers are documented clearly, a new agency or internal team can reconstruct the system without starting from scratch. This is a selling point worth mentioning to clients during the project kick-off, not just at the end.

How often should the handoff document be updated?

After any significant change: a new product category, a new flow, a change to the recommendation rules, a new integration. For actively managed accounts, a quarterly review of the document is a reasonable baseline. For clients operating independently, build a version log into the document so they can track what changed and when.

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