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Getting Started

Next Steps

How to get started with Elevasis - from discovery call to live automation

Ready to explore AI automation for your business? Here's our transparent process from first conversation to live automations.


The 5-Step Process

Discovery Call

Duration: 30-45 minutes

We learn about your business and repetitive work. You describe current processes and pain points. We identify primary use case with highest ROI potential. We assess fit honestly.

What to prepare: Examples of repetitive tasks, time estimates, current tools you use, and approval requirements.

Demo

Duration: 30 minutes

See platform infrastructure (workflows, approval gates, monitoring). Demo your specific use case. Show real-time execution and observability.

What you'll see: AI workflows executing step-by-step, approval gates pausing for human review, cost tracking, decision capture in action.

Technical Scoping

Duration: Async or 30-minute call

Confirm technical feasibility. Create workflow diagram. Build integration checklist. Identify approval points. Define success metrics.

Deliverable: Scoping document with workflow diagram and integration checklist.

Proposal

Duration: Async delivery, 24-48 hours

Clear ROI calculation. Transparent pricing breakdown. Timeline and deliverables. Success criteria. Terms and support details.

No surprises - pricing matches what we discussed in scoping.

Implementation

Co-build together. We build the automation while you watch, you provide feedback as we go. Deploy to production and train your team.

Outcome: Production-ready workflows running reliably with measurable ROI.


Early Adopter Benefits

Early Client Advantages

White-glove support (immediate response, direct founder access), roadmap influence (request integrations, feature suggestions), locked-in pricing (ground-floor rates), and partnership approach (we build WITH you).


What Happens After Implementation?

Included in monthly retainer:

  • Platform access and monitoring
  • Bug fixes and edge case handling
  • Optimization reviews
  • AI execution costs

The Compounding Effect: Each additional workflow costs less because it builds on existing infrastructure - shared integrations, shared data objects, shared decision patterns.


Last Updated: 2025-11-30