Turn customer signals into governed action. Then measure whether it worked.
CLARA connects what customers say with what they do. It finds the problems that matter, proposes coordinated action, runs your policy checks first, and measures whether the outcome moved.
Feedback analytics stops at the insight.
Dashboards tell you what customers feel. The hard part is still yours: decide, coordinate teams, stay inside privacy and AI rules, execute, measure. CLARA takes that part.
A wall of insights
You learn what customers feel. The decision, the coordination, the compliance and the measurement are still manual.
- × Themes & sentiment, no recommended action
- × No view of who is actually affected
- × Governance handled in email and spreadsheets
- × No measurement of whether it worked
A closed loop to outcome
Every signal becomes a problem, a coordinated plan, a governed decision, an execution and a measured result.
- ✓ Coordinated product, customer & journey actions
- ✓ Affected customers and accounts, quantified
- ✓ Risk, privacy & AI policy enforced before action
- ✓ Outcome contracts that measure impact
One loop. From signal to measured outcome.
Five stages you can watch working in the product: every problem carries its evidence, every decision is recorded, every outcome is measured.
The loop bar on the live dashboard. The same five stages, running as software.
Signals
Bring every customer signal into one canonical model: feedback, support, behaviour, CRM and ops.
Problems
Understand what customers mean, in German and English. Signals cluster into problems with root cause, evidence and exactly who is affected.
Decisions
Risky moves wait for a human. Policy-as-code checks run first, blocking rules stop unsafe action, and every approval is recorded.
Actions
Compose coordinated action and execute through the tools you already run, one portfolio with owners and dependencies.
Outcomes
Measure each action against an outcome contract and bank what worked as reusable memory, so the next pass is sharper.
Six engines, one operating layer.
CLARA sits on top of the systems you already run, not another data silo. Each engine does one job, and they share one canonical model of your customers and their problems.
Universal Signal Hub
Bring feedback, support, behaviour, CRM and operational signals into one canonical event model, with flexible import that keeps every field.
Trusted Intelligence Engine
Evidence-backed taxonomy, classification, root-cause hypotheses and emerging-problem detection in German and English, with confidence and stated limitations.
Live Journey Intelligence
Connect what customers say with what they did. Score journey friction and deviation from behavioural events, not sentiment alone.
Coordinated Action Studio
Product, customer, journey and research actions as one portfolio, with owners, dependencies and approval diffs instead of scattered tickets.
Governance & Approval Engine
Risk, privacy, evidence and AI-model policies enforced as code before anything executes. EU AI Act and GDPR are built in, not bolted on.
Outcome Learning Engine
Outcome contracts and measurement windows, plus reusable memory of which actions worked in which context. The loop gets smarter with every pass.
Evidence you can defend. Governance you can audit.
CLARA is built for regulated, European enterprises. Every recommendation carries its reasoning, and every action passes policy before it runs, with a full audit trail.
- ◆Honest AI by default.
Confidence, matched terminology, contradictory evidence and limitations on every classification and hypothesis.
- ◆Policy-as-code approvals.
Risk, privacy, evidence and AI-model checks run before execution. Blocking rules stop unsafe action automatically.
- ◆Audit & isolation.
Role-based access, row-level multi-tenancy and admin audit export, ready for DACH and EU scrutiny.
The decision queue on the live dashboard. Real statuses, real confidence, no mockup.
Validated before it met a customer.
CLARA began as MSc research and was tested on real public feedback from three industries: industrial B2B, food delivery and fintech. All before any sales conversation.
Sentiment accuracy against an independent star-rating proxy, measured by two separate harnesses on real public feedback.
Urgency calibration held across all three, with zero per-industry tuning or fine-tuning.
An honest evaluation harness with an adversarially verified test set, built to academic standards, not for a demo reel.
Pervasive support unresponsiveness on critical financial issues. 14 signals, one problem.
Surfaced from a fintech's public reviews
Refunds denied for undelivered orders. 28 signals, one theme.
Surfaced from a delivery marketplace's public reviews
Company names in a conversation. We don't imply endorsements on a landing page.
What makes it different.
A closed loop, not a dashboard
Most tools end at the insight. CLARA carries each problem all the way to a measured outcome: decision, governance, execution and measurement in one system.
Governed by design
Policy-as-code approvals, EU AI Act and GDPR alignment, and a complete audit trail. Compliance is a feature of the workflow, not a separate review.
Evidence you can defend
Confidence scores, contradictory evidence and explicit limitations on every recommendation, so teams and regulators can trust the call.
Works through your stack
Executes in Jira and Slack, listens in Zendesk. CLARA is the operating layer between feedback and action. No rip-and-replace.
The questions CLARA answers.
Every team brings a different question to customer feedback. CLARA answers each one with evidence, then carries it through to a governed, measured action.
“What's breaking in the journey before renewals tell us?”
CLARA clusters emerging problems from live feedback and behaviour, scores journey friction and deviation, and names the accounts affected, weeks before it reaches the renewal number.
→ Caught early“Which problem should we fix first for our biggest accounts?”
Each problem is scored by reach, severity and account value, with its evidence attached. Prioritisation becomes a defensible call, not a loudest-voice debate.
→ Prioritised by impact“Can we act on this without breaking GDPR or the EU AI Act?”
Risk, privacy, evidence and AI-model policies run as code before anything executes. Blocking rules stop unsafe action automatically; the rest routes to the right approver, with a full audit trail.
→ Governed before it ships“Did the fix actually move the metric?”
Every intervention ships against an outcome contract with a measurement window. CLARA reports whether it worked and banks the result as reusable memory for next time.
→ Measured, then remembered“Who owns the response across product, service and journey?”
One customer problem becomes one coordinated action portfolio: product, customer, journey and research moves with owners, dependencies and approval diffs, not scattered tickets.
→ One plan, many teams“Do we understand German customers as well as English ones?”
Native German and English intelligence with a shared terminology dictionary makes DACH feedback first-class. Same taxonomy, same evidence, same loop. Per-language accuracy is published on the model card, with denominators and dataset date.
→ DE / EN, one truthListens everywhere. Acts where you already work.
CLARA reads signals from the tools your customers touch and pushes governed action back into the systems your teams already use. Adoption never means migration.
See CLARA on your own customer signals.
A 30-minute pilot scoping call: bring one feedback source and the one question you most want answered.
or write to hello@odradekai.com
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