Move your team from Ada to Sierra.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in Sierra — and the few things that need a manual step, walked through. You send one invite; nobody becomes the help desk, and nothing in Ada is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
Ada's Coaching system lets CX operators flag conversations where the agent over- or under-performed; those signals feed the agent's future behavior without full retraining. Ada's Performance Center dashboard tracks resolution rates, escalation patterns, and agent accuracy. Sierra's Insights module provides the same monitoring function through three complementary tools: Explorer (natural-language queries over conversation samples to identify trends), Monitors (automated flagging of conversations that need review), and Experiments (A/B testing to compare agent behavior changes). To migrate from Ada to Sierra: establish baseline KPIs in Ada's Performance Center (resolution rate, escalation rate, CSAT if tracked) and export them for before/after comparison; then configure Sierra Monitors to flag the same failure modes that Ada Coaching was trained to catch (e.g., unresolved refund requests, sentiment dips). Run Sierra's Experiments feature to validate that the migrated agent matches Ada's resolution benchmarks before decommissioning Ada's coaching loop.
- Warning: Ada's Coaching system applies feedback continuously without re-training from scratch; Sierra's learning mechanism is not described as a passive feedback loop in the same way — verify with Sierra whether flagged Monitors automatically update agent behavior or require manual review and re-deployment.
- Warning: Ada's Performance Center is a proprietary dashboard; there is no export format documented publicly, so historical coaching data cannot be migrated directly into Sierra Insights — teams should archive screenshots or CSV exports of key metrics before switching.
- Warning: Sierra Experiments supports A/B testing of agent variants, which Ada does not explicitly advertise; this is a capability gain when moving to Sierra but requires additional setup to use effectively.
Both platforms connect the AI agent to CRMs, helpdesks, telephony, and back-end data stores so it can perform real-time lookups and take actions (e.g., pull order status, update a record) during live conversations. Ada's native connectors cover Zendesk, Salesforce, ServiceNow, Freshworks, Genesys, Aircall, Twilio, AWS, and GitHub; custom integrations use Ada's Developer Toolkit (APIs, SDKs, MCP). Sierra's pre-built connectors target data warehouses (Google Cloud, Databricks, Snowflake, Redis, AWS) and CRM/order management platforms; custom integrations use Sierra's Agent SDK. To migrate from Ada to Sierra: list every integration Ada uses in active Playbooks, check whether Sierra has a pre-built connector or requires Agent SDK work for each, then rebuild and test each action call in Sierra's Agent Studio before going live. Re-verify that each integration passes the same test cases (data read, write-back, error fallback) in the new environment before decommissioning the Ada integration.
- Warning: Ada lists Zendesk, ServiceNow, and Freshworks as named native connectors; Sierra's public docs do not list these helpdesks explicitly — teams migrating from Ada's helpdesk-native Playbooks may need to build custom Sierra Agent SDK integrations for those systems.
- Warning: Ada's Developer Toolkit includes an MCP integration pathway; Sierra's Agent SDK targets developers building within existing developer environments — assess your team's development capacity before assuming a like-for-like swap.
- Warning: Sierra's pre-built connectors skew toward data warehouses (Snowflake, Databricks) that Ada does not highlight; if your Sierra migration involves adding analytics or knowledge-base lookups, Sierra's stack may be additive, but it does not replace Ada's telephony connectors (Genesys, Aircall, Twilio) directly.
Both Ada and Sierra hold SOC 2, HIPAA, and GDPR certifications and apply compliance controls at the platform level — customers do not configure separate compliance tiers. To migrate security and compliance posture from Ada to Sierra: request Sierra's compliance documentation (SOC 2 Type II report, HIPAA BAA, GDPR DPA) from your Sierra account team and compare them against your existing Ada compliance documentation; verify that any agreements (BAA, DPA) from Ada are replicated with Sierra before go-live; confirm your data residency requirements are met (both platforms apply privacy-by-design, but specific regional residency options should be confirmed with each vendor). In heavily regulated verticals (healthcare, finance, federal), validate Sierra's FedRAMP and PCI DSS coverage against your regulatory requirements — these certifications Sierra holds but Ada does not explicitly advertise, which may be a compliance gain when moving to Sierra.
- Warning: Sierra holds ISO 27001, ISO 42001, FedRAMP, and PCI DSS certifications not explicitly mentioned in Ada's public documentation — if your organization requires these, Sierra may be the stronger compliance posture, but Ada should be asked directly before concluding it lacks them.
- Warning: Ada explicitly states zero data retention for conversation content and independent annual penetration testing; Sierra states customer data is never used to train models but does not explicitly confirm zero retention — clarify with Sierra's security team before migrating data-sensitive workflows.
- Warning: Ada's AIUC-1 certification (an AI use-case compliance standard) is specific to Ada's platform and has no named equivalent in Sierra — verify with your compliance team whether this certification is required by your organization before switching.
Both products deploy a single configured AI agent across voice, chat, email, SMS, and WhatsApp without per-channel rebuilds. To migrate from Ada to Sierra: export your Ada channel topology (which channels are live, their routing rules, and any channel-specific escalation settings) from Ada's Conversation Hub; then replicate that channel mix inside Sierra's Agent Studio by enabling each channel in the deployment config. Ada manages channels through its Conversation Hub; Sierra manages them through Agent Studio's publishing panel. For voice, note that Sierra routes voice through a dedicated Voice add-on — confirm it is included in your Sierra contract before decommissioning Ada's voice channel. Context persistence across channels is available in both products. To migrate the reverse (Sierra to Ada), note Ada's 300,000 annual conversation minimum for eligibility — verify your volume qualifies before committing.
- Warning: Ada requires a minimum of 300,000 annual customer service conversations for platform eligibility; Sierra does not publish a volume floor, so very high-volume Ada deployments may be the only direction this migration is practical.
- Warning: Sierra's voice capability is a separate Voice add-on and may require a separate purchase; Ada includes voice in its standard channel set.
- Warning: Sierra supports 58 languages natively across all channels; Ada's multilingual scope is not explicitly stated in public docs — verify language coverage before migrating non-English channels.
Ada uses Playbooks — admin-configured, branching step sequences that pull live data from integrated systems — to define how the agent handles specific interaction types (e.g., order status lookup, refund request). Sierra's equivalent is the Agent Studio Ghostwriter, which lets admins describe the same SOPs in plain English or by uploading policy docs and past transcripts, then generates a deployable agent configuration. To migrate Ada Playbooks to Sierra: export or document each playbook's steps, data sources, and branching conditions; convert them into SOP documents or transcripts; upload those to Ghostwriter in Agent Studio and refine the generated agent with guardrails and tone settings. To migrate the reverse, translate Sierra agent behavior configs back into structured step-by-step playbooks in Ada's admin console. Both tools support branching logic and real-time data lookups through their respective integration layers.
- Warning: Ada Playbooks are structured step-by-step graphs that an admin builds explicitly; Sierra's Ghostwriter generates agent logic from natural-language descriptions, so fidelity of migrated SOPs depends on how precisely the description captures the original branching logic — manual QA of edge cases is required.
- Warning: Ada Playbooks can reference live business-system data at every step via native integrations; Sierra's real-time action calls are configured separately in Agent Studio and need to be reconnected after migration.
- Warning: Sierra provides full version history and audit visibility for agent changes; Ada's equivalent versioning for Playbooks is not documented in public materials — capture a full export before switching.