A board-ready business case for enterprise buyers — built on real percentages from named, audited deployments. Net value, payback and NPV in your own numbers.
Three dimensions of value: revenue uplift from real-time engagement, cost reduction from AI-driven automation, and risk mitigation from compliance-first design.
NBO conversion, churn prevention, ARPU growth.
Campaign ops automation, agent deflection, faster time-to-campaign.
Compliance-first design reduces regulatory penalty exposure.
Source basis: IDBI Bank case study · GIB case study. Your outcomes depend on baseline and configuration — the workshop fits the model to your numbers.
Enter your customer base and expected investment — surface gross benefit, net value and payback. Default scenario is Expected; use Conservative to stress-test.
Annual revenue retained by reducing churn — net of expected Appice investment.
Additional annual revenue from real-time, AI-personalised offers — net of investment.
All figures here are your inputs scaled by the selected scenario — not vendor claims. The workshop below replaces these defaults with audited basis for your industry, region and baseline.
A 60-minute workshop with our value team. We model your specific baseline, customer mix, channel cost and compliance context — and replace every assumption token with audited basis.
Production decisions inside the regulator’s perimeter — not a pitch deck. Every figure on this page traces to one of these deployments.
For regulated industries that need full-scale data operations, advanced AI, multi-brand governance and dedicated support. Early-stage? See Appice Liftoff.
Built for regulated industries that need full-scale data operations, advanced AI, multi-brand governance and dedicated support.
Five questions that come up in every enterprise procurement cycle — answered plainly.
Outcomes-aligned: decisions made, signals processed, value shipped — not seats licensed. Two editions: Scale & Govern (enterprise) and Liftoff (start-ups). Detailed scoping happens in the value workshop above.
Year 1 = annual subscription + implementation. Both scale with customer base and integration scope. Implementation is bounded to 6–8 weeks to first live decision — longer cutovers are not how we deploy.
Every decision is logged with reason codes and is exportable for model risk and regulatory review. Lift measurement uses pre/post baseline or holdout cohort — defined in the workshop and signed off before go-live.
Discovery and value workshop (2–3 weeks) → security review & legal (parallel) → pilot scope (4–6 weeks) → live in production. Reference customers available under NDA at the discovery stage.
You do. Open architecture — data in Parquet / JSON / Avro, models exportable, decisions in an event stream. No proprietary lock-in. On-prem, hybrid or any cloud deployment.
A bounded procurement timeline that hits production decisions in weeks, not quarters.
Value workshop, security review and legal in parallel. Audited basis replaces every assumption in the calculators.
Connect signals, configure decisions, integrate channels. Holdout cohort defined and signed off.
First live decisions in front of customers. Lift measured against baseline. Learning loop active.
A 30-minute demo tailored to your industry, regulator and customer base — with the option to layer in a value workshop alongside.