Go-live is the date most implementation plans are built around, so it is easy to treat it as the finish line. For the customer, it is the start. The integrations are connected, the workspace is configured and users have been trained, but nothing yet shows that the product is changing how the customer works. The first 90 days after go-live decide whether the rollout turns into adoption or quietly fades.
This guide explains what an AI platform should show implementation teams and forward deployed engineers (FDEs) during those 90 days, and how to use that view to run post-go-live adoption reviews. It is not a vendor ranking. It is a working model you can apply with whatever tools you use today. Quivly, the AI workforce for post-sales, was built to support this model, and we describe how at the end.
Why Go-Live Is the Wrong Finish Line
Most implementation teams are measured on whether they delivered on time and to scope. Those are fair measures of delivery, but they say little about whether the customer will use what was delivered. A rollout can hit every milestone and still leave a customer with a configured product that only a handful of people open.
The gap usually appears in the weeks right after launch. The implementation team moves on to the next kickoff. The CSM inherits an account with partial context. The customer's champion is busy with other priorities. Without a structured check on adoption, early warning signs such as a team that never logged in or an integration that silently stopped syncing go unnoticed until the first business review.
A post-go-live adoption review closes that gap. It gives the implementation team, the CSM and the customer a shared view of what is being used, what is not and what to do next, at fixed points after launch.
What a Post-Go-Live Adoption Review Is
A post-go-live adoption review is a short, evidence-based checkpoint held at roughly 30, 60 and 90 days after launch. Each review compares what the customer is actually doing with what was agreed at kickoff: the goals, the teams expected to use the product, the workflows meant to move into it and the integrations it depends on.
The review has three outputs:
- A clear adoption status for each goal, team and workflow, based on usage and conversation evidence rather than opinion.
- A short list of actions with a named owner and a date, on both the vendor and customer side.
- A decision on whether the implementation team stays engaged, steps back or hands over fully to customer success.
An AI platform makes these reviews practical because it can assemble the evidence continuously. Without that, someone has to pull usage exports, reread call notes and chase integration logs before every meeting, which is exactly the work that causes reviews to be skipped.
Days 1 to 30: Confirm the Rollout Actually Landed
The first month is about stability and reach. The question is not yet whether the customer is getting value, but whether the foundation is in place for value to happen.
What the platform should show
- Integration health for every connected system, with sync failures, permission errors and stale data surfaced before the customer notices.
- Activation by team and role, compared with the users and teams named in the rollout plan, so gaps in reach are visible.
- Open implementation items carried past go-live, such as deferred configuration, pending data loads or training sessions still to run.
- Early support and conversation themes, pulled from tickets, emails, Slack threads and call recordings, that point to confusion or friction.
Questions for the 30-day review
- Is every integration the rollout depends on live and reliable?
- Has each team in scope activated, and if not, what is blocking them?
- Which deferred items are still open, and who owns closing them?
Most problems found at 30 days are still cheap to fix. An FDE can repair a broken sync or run an extra session for a team that missed training far more easily now than after habits have formed.
Days 31 to 60: Check Adoption Against the Goals Named at Kickoff
By the second month, the question shifts from reach to depth. Logging in is not adoption. What matters is whether the workflows the customer bought the product for have actually moved into it.
What the platform should show
- Core workflow usage for the specific actions tied to the customer's goals, not just overall logins or page views. Our guide to defining activation events covers how to choose them.
- Trends over time, so the team can see whether usage is growing, flat or starting to slip after the post-launch spike.
- Goal-by-goal status that maps each kickoff goal to the usage and conversation evidence that supports or contradicts it.
- Stakeholder engagement, showing whether the champion and executive sponsor are still active in conversations.
Questions for the 60-day review
- Which kickoff goals have clear evidence of progress, and which have none?
- Are the workflows meant to move into the product still running somewhere else, such as spreadsheets or an older tool?
- Is engagement concentrated in one person, which makes the account fragile if they leave?
The 60-day review is often where the most useful conversations happen. If a goal shows no progress, the team can ask the customer directly whether it is still a priority, whether something is blocking it or whether the configuration needs to change.
Days 61 to 90: Prove Value and Hand Over a Clean Account
The third month is about proof. The customer should be able to point to at least one outcome that the product made possible, and the vendor should be able to describe the account's state without relying on anyone's memory.
What the platform should show
- A value summary that connects usage to the outcomes agreed at kickoff, written in the customer's language rather than product terms.
- Remaining risks, such as a team that never adopted, an unstable integration or a disengaged sponsor, each with a recommended next step.
- Expansion signals, such as new teams asking for access or requests for capabilities outside the original scope.
- A complete account record covering goals, decisions, configuration choices and open items, ready for the CSM to own.
This is the natural point for the implementation team or FDE to step back. A good handoff at 90 days means the CSM inherits evidence of value, a known list of risks and the full history of how the account was set up. Our guide to the FDE implementation-to-adoption handoff goes deeper on what that transfer should include.
What the AI Should Do Between Reviews
Reviews are checkpoints, but adoption problems do not wait for the calendar. Between reviews, an AI platform should watch the account continuously and act within limits your team sets.
- Flag changes early. A drop in core workflow usage, a failed integration or a change of tone in support tickets should reach the right person the same day, with the evidence attached.
- Draft the next step. An alert alone creates work. The platform should propose a specific action, such as a check-in email, a targeted training session or a fix ticket, for a person to approve.
- Prepare the review. Before each checkpoint, the platform should assemble the usage trends, goal status, open items and conversation highlights into a short brief.
- Keep the record current. Decisions and commitments from calls and emails should be captured on the account automatically, so nothing depends on someone remembering to write it down.
The principle is that AI prepares and proposes, and a named person decides. That keeps the implementation team accountable while removing the manual collection work that makes reviews hard to sustain.
How to Run the Adoption Review Meeting
The meeting itself should be short and focused on decisions. A format that works for most implementation teams:
- Share the brief in advance. Send the customer the adoption summary a day or two before the meeting so the time is spent discussing it, not reading it.
- Start with the goals. Walk through each kickoff goal and its evidence. Agree on whether it is on track, at risk or no longer relevant.
- Focus on gaps. Spend most of the time on the teams, workflows and integrations that are not where they should be, and why.
- Agree on actions. Leave with a short list of actions, each with an owner on the vendor or customer side and a date.
- Confirm the next checkpoint. Decide whether the next review goes ahead as planned, moves earlier because of risk, or becomes the formal handoff.
Invite the CSM to every review, not just the last one. When the CSM hears the customer's priorities and frustrations firsthand during the first 90 days, the handoff becomes a formality rather than a fresh start.
Common mistakes to avoid
- Measuring logins instead of workflows. High login counts can hide the fact that the core workflow still runs elsewhere.
- Skipping the 30-day review because things seem fine. Early problems are the cheapest to fix and the easiest to miss.
- Treating the review as a status report. If the meeting ends without decisions and owners, it has not done its job.
- Handing over without evidence. A CSM who inherits an account without a value summary has to rebuild the story from scratch.
- Relying on one champion. If only one person at the customer is engaged, the account is at risk regardless of what the usage data shows.
Where Quivly Fits
Quivly was built to carry each account from kickoff through adoption on one record. Customer 360 brings CRM, product usage, support, conversations and billing into a single profile, so the evidence for each adoption review is already assembled. The health score and Actions Feed flag changes between reviews and propose a drafted next step for a person to approve. Notebooks turn account data into review briefs and value summaries. See how this works for forward deployed engineers and for onboarding teams.
