Make CX a revenue conversation
Birdie is the Customer Context Platform that connects customer signals so your teams move faster, with certainty, and can prove what worked.
The world's top fintechs trust Birdie
10 of the companies named to CNBC | Statista's 2026 World's Top fintechs rely on Birdie to understand their customers.












Two intelligence systems. One decision engine.
Your CX stack is broken. One tool sends surveys. Another manages tickets. Another builds dashboards. Another scores agents. They all say they can listen and surface insights.
NPS surveys
Transactional & relational
Customer reviews
App stores, G2, public
Support tickets
Zendesk, Intercom, Salesforce
Voice calls
Recorded & transcribed
Chat conversations
Live chat & messaging
Social mentions
X, Reddit, LinkedIn, forums
MCP
Customer Intelligence
What they experience
Frontline Intelligence
How you respond
Birdie
Customer Context Platform
Customer Context Platform
CSAT lift
Move the satisfaction needle
Reduce churn
Catch detractors before they leave
First-contact resolution
Fewer touches per case
Handle time cut
Agents spend less on each contact
NPS gains
Compounding loyalty over time
Coaching at scale
QA on 100% of conversations
Inputs
NPS surveys
Transactional & relational
Customer reviews
App stores, G2, public
Support tickets
Zendesk, Intercom, Salesforce
Voice calls
Recorded & transcribed
Chat conversations
Live chat & messaging
Social mentions
X, Reddit, LinkedIn, forums
Birdie Platform
MPC
Customer Intelligence
What they experience
Quality Management
How you respond
Birdie
Context Layer
Birdie
Platform
Outcomes
CSAT lift
Move the satisfaction needle
Reduce churn
Catch detractors before they leave
First-contact resolution
Fewer touches per case
Handle time cut
Agents spend less on each contact
NPS gains
Compounding loyalty over time
Coaching at scale
QA on 100% of conversations
The system behind high-performing CX teams
Most CX tools give you insight. Birdie gives you a system that turns signals into decisions, decisions into action, and action into measurable impact.
Every signal. Every channel.Diagnosed, quantified, and ready to act on.
Every signal — from surveys to session replays to app reviews — is correlated with customer profiles and product behavior, then diagnosed by root cause and ranked by business impact to help you decide and act on what matters most.
Initiatives & Action Plans
Emerging Themes & Signals
AI-Powered Taxonomy
Skye, Your AI Analyst
Business Metrics & Impact
Custom Dashboards








Birdie does everything traditional QA tools do and beyond.
Every score is tied to business outcomes. We identify which behaviors actually drive results and which 'failures' are product or process problems in disguise. QA finally becomes strategic.
Full interaction coverage
Everything traditional QA does
Outcome-driven scoring
Root-cause correlation
Strategic coaching






What teams use Birdie for
Customer signals don’t drive growth. Decisions do.
Go beyond Customer Intelligence with a system that connects every signal to a decision, and every decision to measurable impact.

MCP
Connect Birdie's intelligence to any AI agent, copilot, or workflow through Model Context Protocol. Your agents get structured customer context, not raw data. Learn more about Birdie's MCP connector
Speed to fix
From signal to root-cause diagnosis in minutes, not weeks. The right team sees the right problem with the right context — before the customer escalates.
Built for scale
Millions of signals. Hundreds of thousands of interactions. Real-time. Birdie was built for the volume and complexity of enterprise CX, not retrofitted for it.
From diagnosis to action
Birdie doesn't stop at telling you the problem. It routes to the right team, triggers workflows, and measures whether the fix actually worked.
FDCX: we run it with you
Our team works inside your operation, turning diagnosis into action plans, making sure fixes ship, and proving impact every quarter. This is true partnership.
Built for the entire CX organization and the product and technical teams that drive outcomes.
The Problem You Solve
Your support team flags a checkout issue. Your ops team says it's process. Your product team says they need more data. Three weeks later, nothing's fixed.
Your Outcome
CX becomes a revenue function. Detractors drop. Board credibility follows.
How Birdie Helps
Diagnose every customer problem at its source — is it product, process, or people? Fix it the right way in days, not weeks. Prove every fix to Finance and the Board.
The Problem You Solve
Your roadmap is debated by whoever yelled loudest. You ship features that move adoption by 2%. You wish you had real customer evidence instead of opinions.
Your Outcome
Ship the roadmap customers actually want. Adoption goes up. Your team ships faster.
How Birdie Helps
Every product decision backed by aggregated customer evidence. See which adoption blockers customers actually care about. Prove what shipped vs. what would've been wasted effort.
The Problem You Solve
Your customer data lives in three systems. Your AI agents need customer context but you can't decide where that lives. Regulators want proof that your AI decisions are auditable.
Your Outcome
Unified customer intelligence infrastructure. Auditable AI. One platform for both human-led and AI-augmented CX.
The Problem You Solve
One customer intelligence layer instead of three. Publish accuracy metrics that defend your AI decisions. Context layer architected for the AI-agent stack.
The Problem You Solve
You're scoring several interactions a month but can't tell leadership how that's really impacting the business. CSAT is flat. Coaching feels random. And the biggest customer problems keep showing up in QA data, but nobody connects them to what product or ops should fix.
Your Outcome
QA becomes strategic. Coaching drives measurable results. You prove to leadership exactly what improved and why — in revenue and retention terms, not rubric percentages.
The Problem You Solve
Score 100% of interactions automatically, then connect every score to business outcomes, not just checklists. See which coaching actually moves CSAT and retention. Identify when a 'quality problem' is really a product or process failure your agents are absorbing.
When decision velocity comes into play
Built for enterprises that can't afford to get it wrong
Security & Compliance
Birdie is built to the standards of regulated fintech and healthcare environments, anywhere in the world. Your customer data is encrypted, access-controlled, and audit-logged.
Accuracy & Transparency
We publish F1 scores. We show you model cards. We're explicit about accuracy limitations and edge cases. You know exactly what works, what doesn't, and why.
Availability & Support
99.9% uptime SLA. Dedicated enterprise support. Your decisions don't stop because your platform stopped. When you need us, we're here.
From signal to execution in one workflow.
Birdie connects to the systems where signals originate and the tools where work happens. Signals flow in from Zendesk, Slack, surveys, and reviews. Birdie diagnoses them. Decisions flow out to Jira, Asana, and your AI agents — with full context.
See IntegrationsWhat is Birdie AI?
Birdie AI is a customer context platform that combines customer intelligence and frontline intelligence in one platform. It unifies customer signals from surveys, tickets, app reviews, calls, and chat, connects that feedback directly to business outcomes like churn, contact rates, and retention, then enables informed prioritization to drive action and prove impact.
Unlike most vendors who stop at analysis or enable reporting actions (like alerts and digests), Birdie pinpoints root causes and enables more impactful actions such as roadmap prioritization, product fixes, and agent coaching.
How is Birdie different from other customer context platforms?
How is Agent QA different from other AutoQA software?
How does Birdie handle data security and compliance?
Birdie is built for regulated industries where customer context must be protected. We maintain:
- SOC 2 Type II certification (independently audited security controls)
- GDPR and CCPA compliance (data privacy and user rights)
- HIPAA readiness (meets healthcare privacy requirements)
- Single Sign-On (SSO) and role-based access controls
- Encryption at rest (AES-256) and in transit (TLS 1.2+)
- Configurable data retention policies (meet your regulatory windows)
Birdie is trusted by publicly traded financial institutions and healthcare companies with strict compliance requirements.
How long does implementation take?
Typical timeline from contract signature to live customer intelligence:
- Weeks 1-2: Data planning, connections setup, and initial ingestion
- Weeks 2-3: AI calibration to your taxonomy and terminology
- Weeks 3-4: Dashboard configuration and team onboarding
Most customers see their first actionable insights within 14 days of setup. There's no need to spend months training custom AI models. Birdie AI's intelligence layer is ready from day one, with calibration options to refine accuracy over time.
These timelines reflect our standard implementation approach. Timeline varies based on the number of data sources being integrated and your team's availability for calibration sessions. See our implementation guide [link] for detailed workflow steps.
Where does Birdie store customer data?
Birdie hosts customer data in secure cloud infrastructure with options for regional data residency:
- Primary hosting: AWS with data centers in the US and EU
- Regional options: Data can be stored in specific regions to meet compliance requirements (GDPR, data sovereignty laws)
- Encryption: All data is encrypted at rest (AES-256) and in transit (TLS 1.2+)
- Access controls: Role-based permissions, audit logging, and SSO integration
For regulated industries with specific data residency requirements, we can discuss hosting configurations during the security review process.
Last updated: July 2026. For the most current infrastructure and compliance status, see our Trust & Security center page.
What types of company should use Birdie?
Birdie is built for CX, Customer Operations, Support, and Product leaders at companies with:
- Company size: 100+ employees
- Scale: 10K+ monthly customer interactions (across all channels)
- Industries: We specialize in financial services and fintech, healthcare, services marketplaces, and retail
At this scale, manual feedback analysis and frontline QA sampling stop working. You need automated insights and 100% quality coverage to stay competitive.
If you're below these thresholds but growing toward them, Birdie still works. The ROI just increases as your team scales.
What integrations does Birdie support?
Birdie integrates with 80+ different sources:
- Customer support platforms: Zendesk, Salesforce, Intercom, Kustomer
- Surveys: Wootric, Qualtrics, Medallia
- Product Analytics: Amplitude, Mixpanel, Pendo
- LLMs: Claude, Glean, chatGPT, Gemini, Cowork through our MCP
- CRM & business tools: Salesforce, HubSpot
- Internal communication: Slack, Microsoft Teams
- Data lakes & others: Databricks, BigQuery, Snowflake
- Identity & access: Okta, Azure AD, Google Workspace
Custom integrations available for tools not on our standard list. Integrations matter because your customer intelligence needs to flow into the tools your team already uses, not sit siloed in another dashboard.
Don't see your tool? Check our integrations page or contact ask@birdie.ai.
See Birdie in action.
See how Birdie turns customer signals into retention, expansion, and adoption decisions. 30 minutes. Live demo with outcomes.








