NOKARIS.

PROOF · 30-day KPI guarantee

AI Spark

One AI feature in production, shipped in 14 days, paid only if it works.

Price
CAD $12,500
Duration
14 days
Tier
PROOF
Languages
EN · FR

IN 1 MINUTE

  • You get: one AI feature in production (semantic search, recommendation, RAG, content gen, lead scoring).
  • Investment: CAD $12,500 fixed, 14 business days.
  • Unique guarantee: measurable KPI defined before kickoff, measured 30 days post-deployment.
  • If KPI missed: free rebuild or full refund.

Our unique commitment

If the feature isn't measurably useful at 30 days post-deployment (KPI defined before kickoff), free rebuild or full refund.

No other Canadian agency commits to a 30-day result. It's the ultimate filter — we only take wins where we're confident we'll deliver measurable value.

Deliverable features

Five feature families. One delivered per mandate.

Search

Semantic search

Algolia + embeddings or pg_vector. Your customers find a product even if they type "summer wedding shirt" while you listed it "short-sleeve linen shirt".

Reco

Product recommendation

Vector similarity on attributes + behavior. Generic "cross-sell" and "you'll also like" replaced by contextual recos. Measure: typical +8-15% conversion.

Support

RAG agent

Customer support agent based on RAG over your product documentation. Replies in EN/FR. Smart human escalation. Measure: -40 to -60% level-1 tickets.

Content

Description generator

Automatic generation of multilingual product descriptions (FR-CA, EN-CA, optional ES). Style guided by your brand voice. Built-in human validation.

Ops (axe C)

Back-office automation — email triage / ticket classification / lead scoring

For service SMEs: incoming email triage + ticket classification + sales lead scoring. Integrable with M365, Google Workspace, Salesforce, HubSpot.

Got 2 minutes? A 30-minute discovery call tells you if we're the right match — no commitment.

Start my AI Spark →

Methodology

Disciplined sprint. KPI fixed before kickoff. Measured 30 days after.

  1. Day 1 · Kickoff

    Definition of target KPI: conversion +X%, NPS +Y points, support time -Z%, etc. Must be measurable, attributable, and reachable in 30 days. No kickoff without accepted KPI.

  2. Days 2-10 · Build

    Dev in autonomy. Async daily standup (5-min Loom) if you want to see progress. Fast iteration on real dataset. No slides, no endless specs.

  3. Day 12 · Staging

    Feature in staging environment. Real user tests. Final tuning based on observed behavior.

  4. Day 14 · Production

    Progressive rollout (5% → 25% → 100% traffic over 24h). Custom monitoring dashboard. 1-hour team training. Async presentation Loom.

  5. Day 44 · 30-day measurement

    60-min workshop to evaluate KPI vs target. If reached: done, we discuss what's next. If not reached: free rebuild or full refund.

Why now

Competitors who deployed product AI in 2025 gained 8 to 12% conversion.

Each month of delay = market share lost. Technical barriers collapsed in 2024-2025. What remains is execution. AI Spark is execution.

Common questions

Five honest answers.

How exactly do we define the KPI?

At kickoff, we agree on a KPI that is measurable, attributable, and reachable in 30 days. Example: "Checkout conversion for sessions using the new search +5% vs. sessions without, measured over 30 days post-deploy". No vague KPI like "increase satisfaction" — we want a number anyone can verify.

If the KPI isn't reached, is it my fault or yours?

Our fault. If we sign, it's because we're sure the KPI is realistic. If we miss, either we mis-scoped (our fault) or we mis-executed (our fault). No blame on you, no "the market changed". Rebuild or refund, you choose.

Which AI models do you use?

Depends on use case. Embeddings: OpenAI, Cohere, Voyage. LLMs: Claude (Anthropic), GPT-4 (OpenAI), open-source models (Llama, Mistral) based on data/cost constraints. Always via APIs with no-training contracts. Decision documented in the mandate.

What about feature operating cost after delivery?

Estimated and documented in the proposal, based on real expected volume. Typical order of magnitude (Shopify Plus $5-50M traffic): CAD $50-300/month in API costs depending on feature. You control budget via API rate limits and auto-alerting.

Do you take all Sparks, or only some?

We filter. If at discovery you describe a use case where the 30-day KPI is too ambitious (seasonality, low volume, too many dependencies), we tell you before signature. Better to refuse a mandate than refund after.

Ready to start?

30-minute discovery call. You describe the use case you have in mind, I tell you honestly whether we can hit the 30-day KPI guarantee.

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