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Frequently Asked Questions
Got questions about AI automation, pricing, or how we work? We've answered the most common ones below.
How long does it take to implement an AI automation?+
Depends on complexity. Simple workflow automations (invoice processing, lead scoring): 2-4 weeks. Custom AI agents: 4-8 weeks. Full CRM integration with training: 8-12 weeks. We'll give you a precise timeline after our initial audit.
Do you work with our existing tools?+
Yes. We build on top of what you already have—Salesforce, HubSpot, Airtable, Supabase, etc. We integrate via APIs and webhooks without requiring you to change your core systems.
What if the automation breaks or makes mistakes?+
All our systems have built-in error handling, retry logic, and monitoring. We log every transaction, set up real-time alerts, and provide a human review queue for high-stakes decisions. You control the escalation rules.
How much does it cost?+
We charge based on scope and complexity. A typical project runs $15K-$50K depending on features, integrations, and customization. We'll provide a detailed quote after understanding your needs.
Will this replace my team?+
No. AI automation is meant to free up your team from repetitive work so they can focus on high-value strategy, relationships, and complex problem-solving. Most of our clients reassign people rather than lay them off.
How do you handle data privacy and security?+
We follow industry-standard practices: encryption in transit and at rest, SOC 2 compliance where relevant, minimal data retention, and clear data handling agreements. Your data never leaves your systems unless explicitly configured.
Can I measure the ROI of automation?+
Absolutely. We set up KPIs at the start (time saved, error reduction, cost savings) and provide monthly dashboards showing actual performance. Most automations pay for themselves in 3-6 months.
What happens after launch? Do you stick around?+
We provide 30 days of free support post-launch. After that, we offer optional ongoing monitoring and optimization (SLA-backed). Most clients keep us on for continuous improvements and minor tweaks.
Can AI agents handle our complex business logic?+
Yes, if you can document it. We've built agents that understand complex workflows, policy exceptions, and judgment calls. The key is clear documentation of decision trees and rules.
What if we need to change the automation later?+
Easy. Our systems are designed for flexibility. Most changes (new data fields, updated rules, new integrations) take days, not weeks. We transfer knowledge so your team can make some changes independently.
How do you ensure the AI quality and consistency?+
We use prompt engineering, fine-tuning, RAG (retrieval-augmented generation), and continuous monitoring. Each system has quality gates, human review queues, and feedback loops to improve output over time.
What's your typical engagement model?+
Discovery call (free, 30 min) → Audit & proposal (1 week) → Building (4-12 weeks) → Launch & support (ongoing). You'll work with a dedicated team throughout.
Do you build custom AI models?+
We primarily use state-of-the-art foundation models (Claude, GPT-4) and fine-tune or prompt-engineer for your use case. For truly unique needs, we can explore fine-tuning or custom architectures.
Can this work at scale (thousands of daily tasks)?+
Yes. Our systems are built for scale. We've handled 10,000+ tasks per day with 99.9% uptime. We use job queues, rate limiting, and robust error handling.
How do we get started?+
Book a free 30-minute strategy call at cal.com/hexaiagency. We'll learn about your biggest time-drain process and give you a roadmap for automation.
Still have questions?
Let's talk directly. Book a free discovery call and we'll answer all your questions in the context of your specific business.
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