Customer intelligence that knows where every answer came from.
Lake connects your support data - tickets, docs, CRM, knowledge base - into a single system where every AI response traces back to a real source. No hallucinated answers. No black box. Full audit trail.
Cost gap
7.3×
Cost difference between AI self-service ($1.84) and a human agent ($13.50) per contact. Source: Gartner.
First-contact resolution
55–70%
Resolution rate for AI-native support platforms, vs 14% for traditional self-service. Industry benchmark, 2026.
Resolution time cut
28.6%
Reduction when support AI connects to structured knowledge - not just search. Xu et al., 2024 (LinkedIn deployment).
Under pressure
91%
Customer service leaders under executive pressure to implement AI this year. Gartner survey, Oct 2025.
Industry metrics from named sources. Lake's own deployment data will replace these as pilots progress.
What Lake actually does
Every dataset flows into the same governed surface. Toggle the views to see how Lake shapes conversations before the first reply is sent.
Customer profiles
Lake pulls together your CRM, account history, and plan details so the AI already knows who it's talking to - before the customer says a word.
How it stays honest
Every layer is explainable, so regulated teams can ship confidently.
Lake doesn't just search your docs - it understands how things relate. Customer identities, account relationships, product entitlements - all connected. So when someone asks about their billing, Lake already knows their plan, their history, and their renewal date.
Every answer Lake gives comes from a real document in your knowledge base - not from the AI's imagination. It retrieves the relevant source first, then generates a response grounded in that source. If it can't find a source, it says so instead of guessing.
Lake reads the emotional temperature of a conversation. When frustration spikes, when the question gets too complex, when someone needs a human - Lake detects it and routes to your team with full context. No customer falls through the cracks.
Freshdesk, GLPI, or whatever your team already uses. Lake connects to your existing ticketing system, pushes full transcripts and context, and lets your agents pick up exactly where the AI left off. No rip and replace.
Lake memory
Each node is a living piece of customer intelligence. Profiles, journeys, policies, and signals - all connected and evolving in real time.
Profiles layer
Unified CRM, entitlements, and product telemetry so conversations begin with the full customer memory.
Why Lake
Support AI that you can explain to your boss, your compliance team, and your customers.
Personalization
Touchpoints stay bespoke
Knowledge graphs keep every journey personalized - from onboarding to renewals - without manual playbook juggling.
Governance
Audit trails by design
State machines and explainable classifiers mean regulators, security, and CX leads see why decisions happened.
Learning loop
FAQs evolve themselves
High-volume tickets feed draft answers; humans approve and the lake widens autonomous coverage overnight.
Integrations
Plug into your tools
Freshdesk, GLPI, EC2, or GDrive - Obvix Lake attaches seamlessly and keeps source systems untouched.
Changelog
Lake now identifies frustration and urgency in real time, with configurable thresholds for automatic human handoff.
Replaced basic document search with a connected knowledge system that understands relationships between customers, plans, and policies. Freshdesk integration live.
Initial research into customer intelligence failure modes - where support AI hallucinates, where context gets lost, where handoffs break.
Lake is in internal testing and we're accepting a small number of pilot partners. If your team handles more than 100 support conversations a day and you're tired of AI that makes things up, we should talk.