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Discovery & scoping

Objectives & requirements gathering: business goals, user roles, integrations (CRM, ERP, databases), compliance needs.

Current state analysis: infrastructure, networks, security, data quality.

Success criteria: KPIs, service levels, expected ROI.

Deliverables: high-level requirements document, project plan, risk register.

Solution design

Architecture definition: deployment model (cloud, on-prem, hybrid), redundancy, data flows.

Integration design: APIs, webhooks, connectors for existing systems.

Data model & migration plan: fields to map, data cleansing needs, deduplication strategy.

Security & compliance: access controls, encryption, audit trails, regulatory considerations.

Deliverables: solution design document, data migration plan, rollout plan.

Environment setup

Accounts & provisioning: tenant setup, domains, user licenses.

Network & security configurations: VPNs, firewall rules, SSO/IdP integration.

Sandbox/testing environment: for functional and integration testing.

Deliverables: configured test environment, access credentials, baseline configurations.

Customization & integration

Workflow customization: screens, forms, business rules, automations.

Integrations: CRM, ERP, ticketing, marketing platforms, telephony carriers.

Automation & AI features: chatbots, IVR, speech analytics, routing logic.

Data migration: move historical data to the new system.

Deliverables: customized modules, integration adapters, migrated data subset for testing.

Testing & validation

Functional testing: key use cases, edge cases.

Integration testing: end-to-end processes across systems.

User acceptance testing (UAT): business owners validate against requirements.

Performance & security testing: load tests, vulnerability scans.

Deliverables: test cases, defect log, UAT sign-off.

UI/UX customization: configurable dashboards, layouts, field sets, user roles, permissions.

Business rules & workflows: automated routing, escalation matrices, SLA-based triggers.

Automation & AI: chatbots, IVR prompts, voice-to-text, sentiment analysis, automation of routine tasks.

Integrations: pre-built connectors for popular CRMs, ERPs, help desks, marketing platforms; custom API connectors.

Data & reporting: custom data fields, reports, dashboards, export formats.

Security & governance: role-based access control, SSO, MFA, audit trails, data retention policies.

Localization: language packs, currency formats, regional compliance settings.

SLA & support configurations: tiered support levels, dedicated account management, on-call rotas.

Deployment model: cloud, on-premises, or hybrid options (including hybrid where sensitive data stays on-site).

Initial setup / implementation fees (one-time)

• Discovery, design, and project management.

• Environment provisioning and initial configurations.

• Data migration and initial integrations.

• Custom development work (if significant customization is required).

Licensing / subscription (recurring)

• Per-user, per-seat, or usage-based pricing.

• Module-based pricing (core product vs. add-ons like advanced analytics, AI features, premium connectors).

• Minimum contract term (12–36 months is common in enterprise deals).

Maintenance & support (recurring)

• Annual or multi-year maintenance fees for updates, bug fixes, and access to support.

• Different support tiers (standard, premium, 24/7) with varying response times.

Professional services / customization (variable, one-time or ongoing)

• Additional development work beyond standard configurations.

• Integration development with internal systems.

• Data cleansing, data migration of large volumes.

Training (one-time or ongoing)

• Admin and end-user training sessions.

• Training materials or e-learning access.

Hosting / infrastructure (if on-prem or managed hosting) (recurring)

• Cloud hosting costs or on-prem maintenance of servers.

Other potential costs

• APIs usage with third-party providers.

• Compliance and security assessments.

• Change management and adoption programs.

New user onboarding

• Guided tours, role-based onboarding paths, and initial task checklists.

• Quick-start templates for common roles (agent, supervisor, admin).

Admin and power-user training

• In-depth admin manuals, configuration walkthroughs, and governance best practices.

• Workshops or hands-on labs covering integrations, data models, and security.

End-user training

• Role-based training for end-users (agents, customer service managers, etc.).

• Training on core workflows, IVR/Routing, reporting, and daily tasks.

Training formats

• Live instructor-led sessions (virtual or in-person).

• On-demand e-learning modules and video libraries

• Hands-on sandboxes or practice environments.

• Training materials: user guides, quick reference cards, runbooks.

Ongoing enablement

• Refresher courses, training for new features (rollout webinars, release notes with impact).

• Certification paths or competency assessments (if offered).

Support during rollout

• Hypercare period with elevated support SLAs immediately post-go-live.

• Dedicated customer success manager or technical account manager (TAM) in some tiers.

Data protection

• At-rest and in-transit encryption (e.g., TLS in transit, AES-256 at rest).

• Data minimization, masking, and encryption for backups.

Identity and access management

• Single Sign-On (SSO) and Multi-Factor Authentication (MFA).

• Role-based access control (RBAC) and principle of least privilege.

• Admin activity logging and audit trails.

Network and infrastructure security

• Network segmentation, firewall configurations, and secure API gateways.

• Regular vulnerability scanning and patch management.

Compliance and governance

• Certifications (e.g., ISO 27001, SOC 2, GDPR/CCPA readiness, HIPAA if applicable).

• Data residency options and data localization controls.

• Data retention, deletion policies, and eDiscovery capabilities.

Operational security

• Incident response process and notification SLAs.

• Regular security training for staff and incident drills.

• Disaster recovery, RPO/RTO targets, and failover testing.

Application security

• Secure development lifecycle (SDLC), code reviews, and pen-testing cadence.

• API security: rate limiting, authentication, and anomaly detection.

Update cadence

• Regular, scheduled releases (e.g., quarterly) vs. feature-driven updates.

• Availability of long-term support (LTS) channels or optional feature upgrades.

Release types

• Minor/patches for bug fixes and security fixes.

• Major releases introducing new features and architectural changes.

Impact on customers

• How updates are delivered (cloud SaaS auto-update vs. on-prem/hybrid upgrade process).

• Compatibility handling, deprecations, and upgrade windows.

• Backward compatibility guarantees and downgrade options if needed.

Testing and validation

• Access to release notes, impact assessments, and any pre-release sandbox.

• Customer acceptance testing (UAT) windows prior to production rollout.

Change control and governance

• Change management process, internal approvers, and communications plan.

• Rollback plans and data rollback options in case of issues.

Support implications

• Whether certain support SLAs apply during upgrade periods.

• Any required maintenance windows or service interruptions.

Data ownership

• Clarify who owns the data, including customer-generated data, system logs, analytics, and derived data.

• Confirm that customer data remains the property of the customer with full rights to access, export, and delete.

• Ensure there is a data processing agreement (DPA) that aligns with applicable laws (e.g., GDPR, CCPA).

Data portability

• Identify the formats and methods for exporting data (CSV, JSON, SQL dumps, APIs).

• Confirm availability of data extraction tools or services at contract termination or upon request.

• Determine any retention period for data after termination, and whether data is archived or deleted per policy.

• Check for API availability to retrieve data during and after the contract term (data lineage, metadata, and schema details).

Data retention and deletion

• Define data retention windows for logs, backups, and historical records.

• Specify data deletion procedures, verification, and destruction in line with standards (e.g., NIST, ISO 27001).

Define pricing or licensing model adjustments when increasing or decreasing seats/users.

Identify minimums, proration rules, and notice periods required to adjust licenses.

Determine lead times for provisioning additional capacity or reducing it.

Clarify any migration/transition services needed for scale changes.

Impact on features and modules

• Confirm whether scaling affects access to modules, add-ons, and support levels.

• Check if feature availability is tied to tier/plan changes and how upgrades/downgrades are handled.

Contract and billing implications

• Understand how changes affect renewal terms, term length, and renewal pricing.

• Verify if there are any penalties, early termination costs, or service credits associated with scaling actions.

Cancellation rights

• Notice period required to cancel (e.g., 60–90 days before term end).

• Whether cancellations at term end are allowed mid-term and any penalties.

• Conditions for terminating for cause (breach, service levels, non-payment) and corresponding cure periods.

Data and asset return

• Obligation to export data before termination and timelines for data export.

• Handling of remaining data, backups, and deletion after termination.

• Return or destruction of encryption keys, API credentials, or other assets.

Migration assistance

• Availability of post-termination data retrieval or transition services.

• Any fees for data export or transition assistance.

Service levels during/after renewal

• Continuity commitments, especially if renewal is in dispute.

• Suspension or termination of services for non-payment and notice requirements.

Disaster recovery and continuity

• How termination interacts with ongoing disaster recovery plans and data availability.

Escalation and dispute resolution

• Processes for handling renewal disputes or service-level disagreements.

ISO 27001 (information security management).

SOC 2 Type II (security and controls).

SOC 3 (attestation).

GDPR readiness or GDPR-specific data processing agreements.

CCPA/CPRA compliance for California residents.

HIPAA/HITECH (if handling protected health information).

PCI DSS (if processing payments or card data).

HDS/CSA STAR, or other cloud security certifications (if applicable).

Data residency and localization certifications or attestations.