AI automation and AI development services for teams that need working systems, not pilots that stall. Voice agents, workflow automation, RAG, and custom agents, with a proof of concept on your real data in 2–4 weeks.
Our services
Choosing a service
Most teams come to us with a problem, not a service name. So start with the problem. Find the line below that sounds like your week, and that's usually where the first project should be. Plenty of builds end up combining two or three of these. A voice agent often needs a workflow behind it, and an agent often needs a RAG system to answer from your documents. We scope that on the first call.
How engagements work
Every engagement runs on a fixed scope and a fixed timeline agreed before we start. You don't pay for open-ended discovery, and you don't commit to a full build until a proof of concept has shown results on your own data.
We ask what the job is, what it costs you today, and which systems it touches. You leave with a recommended service, a recommended platform, and a fixed quote. If AI isn't the right fix, we'll say so.
We build on your real data and your real systems, not a demo sandbox. You see measured results before you commit to a full build, and you can stop there if the numbers don't work.
Integrations, evals, guardrails, monitoring, and a security review. A focused workflow lands at the short end. Multi-system work with compliance requirements lands at the long end.
You own the code. We document the system, train your team, and stay on to tune prompts, flows, and integrations as your volume grows. Or we hand it over and step back. It's your call.
Flexible pricing
Quick implementation for focused use cases
Comprehensive solution across a business function
Full-scale AI transformation
Stack and sectors
We pick the platform that fits your volume, compliance needs, and team. Voice agents run on Vapi, LiveKit, or Retell. Workflows run on n8n, Make.com, or GoFlow for B2B and EDI. Agents that need your internal systems get an MCP layer with proper access control. The industry shapes the rest: which systems we integrate, which rules the agent follows, and when it hands off to a person.
Each platform page covers pricing, timelines, and when we'd recommend something else.
Industry pages show what we automate first, the systems we connect to, and the compliance rules we design around.
FAQ
Hestur AI offers eight services: workflow automation (replaces manual processes with AI agents), voice AI agents (handles calls 24/7), RAG systems (private-data Q&A), AI consulting (strategy plus a PoC in one engagement), generative AI development (custom LLM apps and agents), AI agent development (custom agents with tool calling, evals, and guardrails), AI chatbot development (chatbots connected to your CRM and APIs), and MCP server development (secure agent access to your internal systems).
A proof of concept deploys in 2–4 weeks. A full production build typically takes 4–12 weeks. Every engagement has a fixed timeline agreed upfront.
Yes. Hestur AI integrates with 200+ business tools including Salesforce, HubSpot, Slack, Microsoft Teams, Twilio, Zendesk, and Jira. Custom API integrations are included in every engagement.
Yes. Hestur AI builds HIPAA-compliant architectures for healthcare and SOC 2-aligned systems for finance. Compliance requirements are scoped into every engagement upfront.
AI automation services take a process you already run, like call handling, data entry, or document lookup, and hand it to an AI system. AI development services build something new, like an LLM feature inside your product or a custom agent. We do both, and most engagements mix them: we automate the workflow and build whatever custom pieces it needs.
It depends on scope. As a reference point, a scripted chatbot typically costs $2K–$10K to build, and an AI agent that reads live data and takes actions typically runs $15K–$75K and ships in 2–6 weeks. We quote a fixed price after a free scoping call, so you know the number before any work starts.
Start with the job that costs you the most today. If it's missed calls, start with voice AI. If it's manual data entry between systems, start with workflow automation. If your team can't find answers in your own documents, start with a RAG system. If you're not sure, AI consulting ends with a deployed proof of concept in 2–4 weeks, so you're never paying for a slide deck.
Yes. You own the code and your data. We build model-agnostic systems on GPT-4o, Claude, or Gemini, so you're not locked into one vendor or into us.
Tell us about your automation challenges and let's build something together.