Cut the repetitive work with intelligent process automation from EdgeFirm

Common Questions About Process Automation

What is intelligent automation?

Intelligent automation combines software automation with AI that can read documents, understand messages, and make routine decisions. Plain automation follows fixed rules. Intelligent automation also handles messy input, such as invoices in different layouts or customer emails, and sends unclear cases to a person.

How is this different from RPA tools like UiPath or Blue Prism?

Traditional RPA tools record and replay mouse clicks and keystrokes. They're screen scrapers. When a UI changes, they break. Our approach uses AI to understand the work. We process unstructured data (documents, emails, conversations), adapt to changes, and handle exceptions instead of following rigid scripts.

How is this different from chatbot platforms like Intercom or Drift?

Generic chatbot platforms offer limited customization and shallow integrations. We build custom conversational AI that understands YOUR business logic and connects deeply to your systems (pulling real order data, updating your CRM). It handles multi-turn conversations and hands off to a person in a way that works.

What accuracy can we expect from document processing?

It depends on your documents, so we test on your own samples before launch and share the results. Confidence scores flag uncertain fields for human review. For key fields such as amounts and dates, validation rules catch errors before they enter your systems.

How do you handle exceptions and edge cases?

Every automation includes exception handling. Confidence thresholds trigger human review, validation rules catch data errors, fallback workflows cover unusual cases, and alerts tell your team when to step in. We automate the cases that follow a clear rule and hand the rest to a person.

Can you integrate with our legacy systems?

Yes. We've integrated with mainframe systems, custom ERPs without APIs, on-premise databases, and everything in between. If your system can export data (CSV, API, database connection, or even email), we can work with it. We build custom connectors and handle the hard integration work.

How do you ensure security and compliance?

Security is built in: encryption, role-based access control, an audit log for every action, and masking of personal data. We design with SOC 2 guidance, add HIPAA-aligned safeguards with a signed BAA where needed, and design for GDPR requirements. We work with your security team from day one.

What happens after you deliver the automation?

We include 30 days of post-launch support with every project. After that, you have options. Your team can maintain and extend the system (we provide full documentation and training), or you can keep a monthly retainer for ongoing support, upgrades, and monitoring. We agree retainer terms with you during scoping, based on what support you need.

How much does process automation cost and how long does it take?

Projects start from $20K at a fixed price, and a full build is delivered in 3 to 4 months. The main drivers are how many workflows and systems are involved, how advanced the AI needs to be (simple classification versus conversational AI versus computer vision), processing volume, and compliance needs like HIPAA or SOX. We build the highest-value workflow first, usually live by month 2, then add the rest.

Which channels can the automation use?

WhatsApp, web chat, email, SMS and voice via Twilio, Slack, and Microsoft Teams. The Eona.ae support bot runs on WhatsApp Business API. The same conversational layer can sit on any of those channels, based on where your customers already reach out.

What's the difference between this and AI agent development?

Process automation handles defined workflows: extract this invoice field, classify this ticket, generate this report, with confidence thresholds sending unclear cases to a person. AI agent development is for tasks where the system must plan multi-step actions and use judgment across tools, not just follow a workflow. Most support, document, and reporting automation fits process automation. If your use case needs an agent that decides its own next step, we will say so during discovery.