A migration sequence
Decide what moves first, what can wait, and which dependencies must be stable before the next phase begins.
Foundational guide · 60-minute read
Replace the stitched stack without disrupting the business inside it.
The Connected Operations Playbook gives operators a practical sequence for moving customer data, conversion, delivery, workflows, and AI-assisted work onto one operating layer—what to migrate first, what to connect, what to keep, and what to retire.
✓ 32-page guided playbook✓ Maintained by the Agorix team
Connected operations mapShared record
01Signals become context
02Context chooses the next action
03The operator stays in control
Why this guide exists
Most digital businesses did not choose a fragmented operating model. They accumulated one.
A webinar platform solved the event. A course platform solved delivery. An email tool handled campaigns. A checkout collected payment. A calendar booked calls. A CRM tried to hold the customer. An automation product pushed selected fields between them.
The stack worked—until the business began depending on the connections between the tools more than the tools themselves.
Now the same person exists differently in five systems. Automations fail quietly. Buyers remain in prospect sequences. Reporting requires exports. Customer context has to be reconstructed before anyone can act.
CalloutThe goal is not to move every feature on the same day. It is to establish one trustworthy operating layer, then move the customer journey onto it in the right order.
What you will get
A connection map
Map how customer, content, event, purchase, learning, meeting, and workflow signals should meet in the operating record.
A replacement matrix
Evaluate each tool by business function, source-of-truth responsibility, switching risk, and retirement condition—not by feature count alone.
An agent rollout plan
Choose the first agent jobs based on context quality, repeatability, reversibility, and the need for human approval.
A 90-day operating cadence
Use weekly, monthly, and quarterly reviews to keep the new layer aligned as the business and customer journey change.
Before you migrate: diagnose the real problem
Check every statement that is true today:
- The team cannot name the canonical customer record.
- Attendance, purchase, learning, and meeting history live on separate profiles.
- A buyer can still receive a sales message for the product they purchased.
- Reporting requires manual exports or spreadsheet reconciliation.
- Key workflows depend on one operator remembering how the stack fits together.
- The same segment is defined differently across tools.
- A failed webhook can go unnoticed until a customer reports the outcome.
- The team pays for overlapping contacts, email, pages, checkout, automation, and analytics.
- AI can draft content but cannot safely configure the operational work around it.
- Removing one tool feels risky because no one knows every downstream dependency.
The more statements you check, the more important sequence becomes. A rushed migration can reproduce the same fragmentation in a newer set of tools. The playbook begins with the architecture underneath the features.
The four phases
Phase 1 — Stabilize the customer record
Objective
Establish one identity and one trustworthy history.
Start with the records and signals the rest of the operation depends on. Define the canonical customer, account, consent, lifecycle, ownership, and attribution fields. Import active records. Connect the forms, events, purchases, meetings, and learning activity that should update them.
Key work
- Inventory customer data and identify duplicate identities.
- Define field ownership and transformation rules.
- Map consent, suppression, and communication preferences.
- Preserve source, campaign, purchase, and delivery history where required.
- Establish role-based access and retention rules.
- Compare totals and sampled records against the source systems.
Definition of doneThe team knows where to look for the current customer story, which system may change it, and how exceptions are resolved.
Phase 2 — Consolidate the conversion stack
Objective
Connect the path from first signal to purchase.
Move or connect the pages, forms, events, campaigns, segments, offers, and checkout that create demand and convert it. Prioritize one representative revenue journey before recreating every historical funnel.
Key work
- Choose one active offer and map its end-to-end path.
- Rebuild registration, reminders, attendance, replay, and follow-up.
- Connect campaign engagement to the customer record.
- Recreate checkout, order, payment, and buyer-exclusion logic.
- Test new, returning, existing-customer, no-show, buyer, and failed-payment paths.
- Run the old and new reporting views in parallel until they reconcile.
Definition of doneThe team can see how a customer moved from source to engagement to purchase without assembling the answer across multiple systems.
Phase 3 — Bring delivery into the operating layer
Objective
Make fulfillment part of the same customer journey.
Move the courses, memberships, meetings, onboarding, and resources that deliver the promise. This is where the customer record stops being a sales database and becomes an operating record.
Key work
- Map purchase entitlements to products and access.
- Preserve progress, completion, and credential history where needed.
- Connect booking, meeting, note, and follow-up behavior.
- Recreate onboarding and milestone communication.
- Define what should happen at completion, inactivity, renewal, and cancellation.
- Verify every handoff from commerce into delivery.
Definition of donePurchases reliably become the correct access and next step, while delivery behavior can inform communication, service, and the next appropriate offer.
Phase 4 — Activate workflows and AI agents
Objective
Turn shared context into coordinated action.
Replace cross-tool patches with native workflows. Then introduce agent work where the data is trustworthy, the outcome is clear, and the approval boundary is visible.
Key work
- Rebuild triggers and conditions around the operating record.
- Define owners, timeouts, exceptions, and escalation paths.
- Start agents with repeatable preparation tasks.
- Limit context and module access to what each job requires.
- Add approval gates for customer-facing or consequential work.
- Review activity history, corrections, and actual business outcomes.
Definition of doneThe operating layer advances routine work, surfaces exceptions, and records what agents prepared, what humans approved, and what happened next.
The replacement matrix
Evaluate the stack function by function. A simple working table can prevent emotional or feature-led decisions.
| Function | Current source of truth | Keep, connect, replace, or retire | Migration dependency | Retirement condition |
|---|---|---|---|---|
| Customer identity | CRM | Decide after record audit | Consent and field mapping | Sampled records reconcile |
| Live events | Webinar tool | Replace or connect | Registration and attendance mapping | One live event completes successfully |
| ESP | Replace in stages | Consent, suppression, sender setup | Critical campaigns and reporting verified | |
| Checkout | Cart/payment stack | Replace by offer | Tax, payment, refund, entitlement rules | Purchase-to-delivery path passes testing |
| Learning | Course platform | Migrate by active program | Content, progress, access | Active learners and history verified |
| Scheduling | Calendar tool | Replace or connect | Availability and meeting types | Booking and rescheduling paths verified |
| Automation | Integration platform | Retire workflow by workflow | Native replacement and exception handling | No active dependency remains |
Principle
A tool is not retired when its replacement looks ready. It is retired when the operating path, edge cases, data, ownership, and rollback plan have been verified.
Where agents should start
Good first agent jobs share four traits:
- The necessary context is already in the operating layer.
- The task repeats often enough to justify configuration and review.
- A human can evaluate the result before it creates a consequential outcome.
- Success can be measured without relying on a vague productivity claim.
Examples include pre-meeting briefs, recap drafts, launch assembly, segment analysis, course outlines from approved source material, and workflow diagnosis.
Avoid beginning with sensitive decisions, unclear source data, or unsupervised customer-facing actions. Build trust from visible, reviewable work.
The first 90 days
Weekly
- Review failed, delayed, and manually overridden workflows.
- Sample customer records across important journey stages.
- Review agent drafts, corrections, approvals, and rejected work.
- Track unresolved migration dependencies and owners.
Monthly
- Reconcile customer, event, order, delivery, and campaign totals.
- Review role access, integration health, and retired credentials.
- Compare the new journey to the established baseline.
- Decide which tool or workflow is ready to leave the parallel-run period.
Quarterly
- Audit the operating model against the current offer and customer journey.
- Review data retention, consent, permissions, and agent policies.
- Consolidate duplicate journeys and outdated automations.
- Identify the next operating constraint—not simply the next feature to enable.
How to use the playbook
Read the guide linearly if the stack has no clear source of truth. If one layer is already stable, begin with the phase that matches the current constraint. Each phase should have an owner, a verification plan, a definition of done, and a rollback path before execution begins.
Use the playbook with the people who operate the journey every day. They know the exceptions that a systems diagram will miss.
The stack is specific. The sequence should be too.
Map the path from scattered tools to one operating layer.
Bring your current stack, core customer journey, and most important workflow. We will show you what Agorix can replace, what should connect first, and where an agent can begin creating useful leverage.