Common questions about our AI workflow automation process and what to expect.
We run a structured session to identify your highest-ROI automation opportunities:
We use manual assembly with proven components: existing LLMs, your current tools (CRM, automation platforms), and our tested prompt libraries. No custom software development—we wire together what already works and configure it for your specific use case.
We manually craft prompts, curate knowledge bases, and configure workflows based on your specific business context. This beats generic auto-generated configurations because we understand your industry terminology, edge cases, and quality standards.
We monitor the live prototype, gather user feedback, and make targeted adjustments to improve accuracy and relevance. This includes prompt refinement, knowledge base updates, and workflow optimization based on real usage patterns.
You only move to ongoing operations after we demonstrate measurable KPI improvement vs baseline. If the prototype doesn't move your metrics within 30 days, you stop here with just the discovery investment—no ongoing costs.
We establish KPI baselines during discovery (response times, conversion rates, manual effort hours, etc.) and measure the same metrics 30 days post-launch. All improvements are client-verified through your existing tracking systems.
Discovery session requires 1-2 key stakeholders for 90 minutes. During build and calibration, we need 15-30 minutes daily for feedback and testing. After that, minimal ongoing involvement unless you want additional workflows.
We can't guarantee specific percentage improvements as every business context is different. However, we've seen consistent patterns across similar use cases. If we don't achieve measurable improvement, you only pay for discovery—no ongoing costs.
We integrate with most common business tools:
We work with the permissions you're comfortable providing. Typically this means read-only access to knowledge bases and standard API integrations. We never require admin access to critical systems and can work through your IT team for sensitive integrations.
Yes. We use enterprise-grade AI APIs with data processing agreements. Your data isn't used for model training. We can work with your security requirements including on-premise models, VPN access, or air-gapped environments if needed.
You own all the automation components. We document everything and provide handover materials. The workflows continue running on your existing tools—you're not locked into any proprietary platform.
A structured discovery session requires serious commitment from both sides to identify real opportunities. The fee ensures we both invest the time needed for quality outcomes, and it's immediately applicable to your first prototype if you proceed.
Monthly performance review, prompt optimization, knowledge base updates, integration monitoring, and scoping additional workflows. It's light-touch maintenance—we're not rebuilding, just optimizing what's already working.
Absolutely. Some clients use discovery to build internal AI strategy or prepare for future implementations. You get the full session deliverables: use case analysis, ROI projections, implementation roadmap, and recorded session.
Yes, for multiple workflows or larger teams. After your first successful prototype, we can discuss package pricing for additional use cases or organization-wide rollouts.
The best way to get specific answers is during a discovery session where we can discuss your unique situation and requirements.
Quick Response: Most questions get answered within 4 hours during business hours (SAST). For complex technical questions, we may suggest a brief call to provide better context.