Krida
Fintech
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Rulebase
Monitoring and QA for human and AI customer-facing agents
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5.2MB · 8,679px tall · uses Inter, Arial, ABC Diatype
Industry
AI Agents, Fintech
Style
Dark Mode, Minimal
Stage
Seed
Built with
Next.js
About the site
Rulebase reviews every conversation handled by a company's human and AI support agents, finds where outcomes break, and deploys agents to fix them, with a focus on regulated fintechs. The split hero pairs a near-black panel and large, light headline, 'Monitor every agent. Improve every outcome.', with a close-up photograph of carved plaster overlaid by a crisp white product card flagging an issue. A good reference for AI infrastructure brands that want tactility and warmth.
How this page sells
For compliance leaders at regulated fintechs: a specific failure caught, a four-step loop, then fintech customers and controls.
Primary navigation
- Product
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ClickTap a section to see it on the page
'Monitor every agent. Improve every outcome.' on black beside carved plaster with an 'Issue found' card: an agent quoted a 30-day refund window when policy says 3 to 5 business days, 118 customers affected, with 'Fix ready to apply'.
Why it converts: A concrete policy mistake with a customer count is exactly the risk a fintech ops leader loses sleep over, so the product's value lands before any claim.
'Trusted by the fastest growing and publicly traded regulated services': Interswitch, Kuda, Qonto, Lesaka (tagged Nasdaq: LSAK) and Naia, with Case study tags on some logos.
Why it converts: A Nasdaq-listed fintech among the customers tells a regulated buyer the product has already passed a serious compliance review.
An AI agents / Human agents toggle above four line-drawn steps: Monitor every interaction, Detect silent failures and policy breaches, Diagnose root causes, Improve with automated fixes.
Why it converts: Covering human and AI agents in one loop positions Rulebase as the single QA layer, not another AI-only point tool.
Product vignettes on plaster textures: quality scores, 'Catch failures before they escalate' (a customer threatening to leave), complaint routing to compliance, and 'Fix the cause, not the symptom'.
Why it converts: Each vignette maps to a real ops task (QA sampling, complaints, escalations), so a manager can see which part of their week gets automated.
'See how leading fintechs automate QA and deploy agents to run customer ops' with 95% reduction in manual reviews and 20 hours saved per week, a quote from Rho's COO and a video.
Why it converts: Manual QA review is a headcount cost, so a 95% cut with hours saved gives the buyer a business case in two numbers.
A serif quote from Interswitch's Chief Customer Officer: 'Rulebase is AI for customer ops at fintechs. It watches every interaction, flags risk in real time, and works the follow-up.'
Why it converts: A customer describing the product in one sentence gives the reader the exact pitch to repeat internally.
'SOC 2 Type II. GDPR. PCI DSS. Zero AI training on your data. Built for the compliance demands of regulated financial services.' with four badge cards.
Why it converts: 'Zero AI training on your data' answers the first question a bank's legal team asks about any AI vendor.
A dark band where cards show a 'Monitoring gap' (failure marked resolved while the customer waits a week) over text about complaints escalating and valuable customers leaving.
Why it converts: It names the failure mode ops leaders can't see in their dashboards, which creates urgency to add a monitoring layer.
'Rulebase does the work reading signals across every system… without changing how your team operates' over a grid of Zendesk, Intercom, Five9, Stripe, Avaya, Salesforce, plus a Y Combinator badge.
Why it converts: Promising no change to how the team operates removes the rollout fear, and seeing their helpdesk in the grid means no migration.
