- A CCaaS-to-CCaaS migration is not simpler than an on-premises one. The logic still has to be discovered and translated.
- The strongest partner signal is willingness to run discovery on your estate before contract signature.
- Fixed fee against a volume-validated inventory transfers scope risk to the partner, where it belongs.
- Traffic-shifted cutover with numeric rollback triggers is a commitment. Zero downtime on its own is a claim.
- Ask explicitly who owns containment tuning after go-live, because that is where the business case is actually realized.
Why CCaaS to CCaaS is not the easy migration people expect
Both NICE CXone and Amazon Connect are cloud platforms, which leads sponsors to assume the move is largely configuration. It is not.
CXone Studio scripts, the routing and self-service logic built up over years of operation, have no direct equivalent in Amazon Connect. They become contact flows, Lex bots and Lambda functions, and the translation requires understanding what each script actually does, including the branches that fire rarely and the overrides nobody documented. The source platform is described on the NICE CXone product page.
The other layers carry their own work. Workforce management, quality management and reporting are packaged natively in CXone and assembled differently in Amazon Connect. Agent workflow changes. Historical metric definitions change. None of that is hard, but all of it is scope, and a partner who scopes it as configuration will miss the date.
Discovery must be automated, not interviewed
This is the criterion that predicts everything else.
A partner whose discovery is a series of workshops with your subject matter experts has a manual delivery model, and manual delivery means 8 to 18 months, 8 to 14 engineers, and time and materials billing between $200K and $2M with scope creep as the norm.
A partner with automated read-only discovery ingests CXone Studio scripts, integration definitions and grammars directly and produces a complete call-path inventory with traffic volume attached in hours to days. The destination is covered on our Amazon Connect migration page, with AWS's own Amazon Connect overview and the Amazon Connect administrator guide as first-party references for contact flows and routing profiles.
- Ask them to run discovery on your estate before the statement of work is signed. The answer to that request tells you which model you are buying.
- Require traffic volume attached to every path so dead code can be retired with business sign-off before it is quoted for.
- Ask for the extraction manifest listing anything that could not be read. A partner who hides gaps will discover them in month six.
Test the first criterion now
Read-only discovery across your CXone estate, with the call-path inventory handed over before anything is signed.
Fixed fee quoted against a real inventory
Time and materials transfers all scope risk to you. That is the entire commercial difference, and it is why manual migrations routinely exceed their original estimate.
A partner confident in automated discovery can quote a fixed fee, because they know the scope before they price it. Aumne ACT engagements start from a fixed fee of $25K, with the final figure driven by estate size and integration count, against $200K to $2M for comparable manual programs. The same commercial model underpins our system integrator delivery model.
The condition worth insisting on is that the fixed fee is quoted against the discovery inventory, not against a proposal written before discovery. A fixed fee priced on guesses becomes a change-order negotiation.
Integration ownership is named in the plan
Integration count is the most reliable predictor of schedule slip on any contact center migration. Every CRM screen pop, host adapter, payment service and fraud check becomes a Lambda function with its own validation cycle and its own owning team inside your organization. Self-service logic converts into intents and slots, documented in the Amazon Lex developer guide.
A competent partner produces the integration map during discovery, freezes it before build starts, and requires a named owner in each downstream system. A partner who accepts integrations added during the build phase is not managing your schedule, they are billing it. Ownership discipline across downstream systems is the core of an enterprise migration program.
Cutover includes rollback, in writing
Ask the partner to define rollback. The answer separates commitments from claims.
Traffic-shifted cutover moves DIDs in controlled percentages with CXone and Amazon Connect running in parallel. Each increment validates against real traffic before the next one runs, and rollback remains available throughout.
Rollback triggers should be numeric and agreed before the first increment: an abandon rate threshold, a containment floor, an integration error rate. A single cutover weekend has no rollback path, whatever the proposal calls it.
Compliance content is handled as a controlled artifact
Regulated disclosures, recording notices and consent language are legally exact. A generative model that rewrites a disclosure more elegantly has created a compliance incident.
The partner should tag compliance-bearing prompts during discovery, carry them across verbatim, and route them to your legal team for sign-off against the discovered wording. Ask to see the prompt register that separates compliance-locked content from editable content. If no such register exists, the process is not controlled.
Someone owns containment after go-live
This is the clause most frequently omitted and most frequently regretted.
Cutover is a milestone. The business case is realized afterwards, through intent-drift monitoring and containment tuning against live utterance data. Containment, the share of contacts fully resolved in self-service, is the number that pays for the program.
On a delivered Avaya to Amazon Connect migration, containment reached 55 percent post-migration. On another, it moved from 22 percent to 65 percent and produced a 3x first-year return. Those outcomes came from the tuning phase, not from cutover day. Both are written up in our delivered migration results.
Ask directly whether post-launch monitoring is included in the fee or is a separate engagement. On a time and materials model it is almost always separate, which changes the true total cost of the program.
Partner evaluation scorecard
| Criterion | Weak answer | Strong answer |
|---|---|---|
| Discovery method | Workshops with your subject matter experts | Automated read-only ingestion, output shared before signature |
| Commercial model | Time and materials with an estimate | Fixed fee quoted against the discovery inventory |
| Scope basis | Script count from your team | Volume-validated call-path inventory with a retire list |
| Integrations | Handled as they arise | Mapped in discovery, frozen before build, named owner each |
| Cutover | Cutover weekend, zero downtime claimed | Traffic-shifted increments with numeric rollback triggers |
| Compliance prompts | Reviewed at the end of build | Tagged in discovery, carried verbatim, legal sign-off register |
| Post-launch | Separate support engagement | Containment tuning and drift monitoring included |
| Credentials | General cloud experience | AWS Partner status plus named delivered migrations with dates |
Our own credentials and delivery history are set out about Aumne.
Questions to ask in the first partner meeting
- Can you run discovery on our CXone estate before we sign anything, and will you hand over the inventory?
- How many distinct call paths do you expect to find, and how will you prove which ones carry traffic?
- Is your fee fixed against the inventory, and what specifically triggers a change order?
- Define rollback. What are the numeric triggers and who makes the call?
- Who owns containment tuning for the ninety days after cutover, and is it in this fee?
- Name two migrations you delivered, with dates, durations and the containment outcome.
We answer all six in the first meeting. Contact the team to put them to us, or run a discovery assessment first and bring the inventory with you.