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Deploris

AI Opportunity Finder

Ten questions. One honest recommendation.

No form, no email, no download. Answer where you actually are today and we score your situation against the four problems Deploris solves, custom CRM, RAG, AI agents, managed IT, and tell you which fits (or if none does).

  • Three minutes, ten questions
  • Deterministic scoring, same answers → same result
  • No email required to see the result

What we ask

Ten questions about where you are today, no open-ended textarea, no email required.

  1. 01Where is the biggest operational pain in your business right now?
  2. 02How many SaaS tools does your revenue team currently juggle for customer-related work?
  3. 03Where does most of your institutional knowledge live today?
  4. 04Have you shipped an AI pilot in production before?
  5. 05What's your biggest IT operations headache?
  6. 06How critical is EU / German data residency for your workload?
  7. 07Rough team size?
  8. 08What's the realistic timeline for the first production outcome?
  9. 09Describe your current CRM situation.
  10. 10Who owns the budget for this decision?

What you get back

Your answers are scored against four Deploris service lines. The result shows the best fit, the second best, and an honest write-up of why.

  • Custom CRM development

    Your pain is customer-management shape, not AI shape. A custom CRM that fits your actual sales process, and replaces license bloat, is the highest-ROI next step.

  • RAG systems

    Your team is drowning in knowledge they can't retrieve or trust. A retrieval-augmented generation system grounded in your docs, with cited answers, is the right first AI build.

  • AI agents and automation

    You have repetitive, well-defined work that an AI agent with proper guardrails can take over end-to-end. Human-in-the-loop at the risky steps, full logging, kill switch.

  • Managed IT & infrastructure

    The software side matters less than keeping the lights on. 24/7 monitoring, patching, incident response under a written SLA is the next step.

How scoring works
Deterministic scoring: every answer contributes fixed weights across the four axes. No LLM in the loop, no randomness, the same answers always produce the same recommendation.

Next steps