AI agent development services
you can actually run.
An AI demo is easy. An AI agent that runs a real workflow every day, without a human babysitting it, is the hard part, and the only part worth paying for. Our AI agent development services design, build, integrate, and monitor custom AI agents for sales, support, healthcare ops, and internal workflows.
Scoped estimate in 3 to 5 days. No obligation, NDA on request.
“They were absolutely phenomenal. The team put in a lot of work to break down what was required of the project and gave an excellent presentation on the process. I highly recommend them and will be working with them again in the future.”
Kayode Leonard
Founder, Project Wolf
Selected clients and shipped projects
Awesome Kyiv
Shelfit
We have shipped AI into regulated production
HighCraft is a senior team that pairs full-stack engineering with applied AI for healthcare, SaaS, and expert-led businesses. We earned Top Rated and a 100 percent Job Success Score on Upwork one delivery at a time, and the founder has eleven years leading engineering, including a FinTech team at a Big Four firm.
We have put AI inside systems where a wrong answer has consequences. On a healthcare platform, AI-assisted steps in the EMR run behind evaluation, scoped permissions, and an audit trail for every action. That discipline, the boring controls around the clever model, is what separates an agent you can actually run from a demo you can only present. You work with the engineers who build it, not a sales layer in front of them.
2 weeks
idea to working prototype
End to end
prototype to production
Senior
engineers, no handoffs
The worry with an autonomous agent is the day it does something confidently wrong. So we put the controls where the risk is. The agent works inside scoped permissions, asks for human approval on anything expensive or irreversible, runs behind evaluation and fallback logic rather than raw model output, and logs every step. We build to the spirit of the NIST AI Risk Management Framework, so trust is designed in. Agentic does not have to mean opaque.
What separates an AI agent from a chatbot
The parts a weekend demo skips and production work cannot.
Agents that do the work, not just chat
An agent takes an input, plans the steps, calls your tools and APIs, and finishes a real task. Reconcile the record. Triage the ticket. Draft and file the report. A chatbot answers a question. An agent closes the loop, which is the part that actually saves anyone time.
Built around your process and your data
Custom AI agents grounded in your systems, rules, and context, not a generic template with your logo on it. We map the workflow first, including the exceptions nobody wrote down, because the exceptions are where a naive agent quietly falls over.
Human approval where it counts
The agent runs autonomously on the cheap, reversible steps and stops for a person on the expensive ones. Evaluation and fallback logic catch a bad answer before it ships. The model handles judgment. It does not get to fire the irreversible action on a hunch.
Integrated and monitored in production
Wired into your EMR, CRM, billing, or internal APIs, then logged, observable, and role-gated. An agent you cannot see into is one you cannot trust. The monitoring is what lets you stop watching it by hand and actually leave it running.
When you do not need an agent at all
Half the time the honest answer is a plain workflow. If the steps are deterministic, a rules engine is cheaper, faster, and more reliable than an LLM, and we will say so before quoting an agent. We add a model where the work needs real judgment, reading a document, classifying intent, drafting a reply. Paying for an agent to do an if-statement is a tax, not an upgrade.
100%
Job Success on Upwork
5.0
Average client rating
Top Rated
Agency on Upwork
11 yrs
Engineering leadership
HIPAA
Aligned delivery
Awards and accreditations
Verified on Upwork and recognized by independent agency directories.
Built for the rules healthcare runs on. Practices documented, not implied.
Security & trustAI Prototype Sprint
Validate the workflow before you fund the platform.
A two-week sprint that turns a complex workflow into a working prototype, architecture direction, and a build estimate you can act on.
- Working prototype
- Workflow map
- Architecture recommendation
- AI opportunity and risk assessment
- Delivery roadmap
- Fixed or phased build estimate
Two weeks, one fixed scope. You own everything we build, whether or not you continue.
Week 1
Discover the workflow, build the spine
Week 2
AI where it pays back, then prototype + estimate
Four ways to engage, and a low-risk way to start
We fit the model to the project and the risk, not to our invoice. Most clients start with a two-week discovery sprint that turns the idea into a working prototype and a real estimate, then move into whichever model fits the build.
Time and materials
You pay for the hours you use, billed weekly or monthly. The right call when scope is still moving and you want to steer as you go.
Dedicated team
A senior team embedded with yours and billed monthly, scaling up or down as the roadmap changes. Built for ongoing work, not a one-off.
Fixed price
Agreed scope, agreed price, agreed date. Works when the requirements are already clear and you want certainty before you sign.
Fixed milestones
Phased delivery, paid one milestone at a time. A way to take on a larger build and de-risk it stage by stage.
Clients trust us with messy, real-world software
From regulated healthcare workflows to payment-heavy platforms and internal business systems, the common thread is delivery that survives production.
Alex and his team built the core of our Healthcare SaaS. Their grasp of HIPAA and GDPR was crucial for our telemedicine features, and they added AI into the EMR so providers could make better data-driven calls. They know the Microsoft stack and held to WCAG 2.1 throughout. For a healthcare product that needs regulatory care and real engineering, HighCraft.io is the partner you want.
Oleg Shumar
Owner, GetTrusted.io
They were absolutely phenomenal. The team put in a lot of work to break down what was required of the project and gave an excellent presentation on the process. I highly recommend them and will be working with them again in the future.
Kayode Leonard
Founder, Project Wolf
Really enjoyed working with HighCraft.io. They are true professionals that know how to get things done. They were hardworking and skillful, exactly what we were looking for.
Maxim Grossman
Executive, Enigmex Technologies
HighCraft team did a great job creating a brand new site for my company, and I am loving it. It is exactly what I wanted and the team were true professionals and very nice to work with.
Alina Virstiuk
Founder, AwesomeKyiv
Three ways we turn complex workflows into working software
Start with a prototype, add AI where it creates leverage, or build the full production platform.
- 01
Working prototypes
A working prototype built around the real edge cases, so you can validate scope before funding a full build. The cheapest way to find the edge case nobody mentioned.
- 02
AI-enabled features
AI inside the product you already run: intake, search, summarization, classification, recommendations, or workflow assistance, with evaluation and guardrails. Built so a real user opens it twice.
- 03
Production platforms
Custom platforms built for real users: integrations, permissions, billing, audit trails, and maintenance. HIPAA-aware where it has to be.
Free vendor-risk check
Before you build, check the risk first.
Answer a few plain-English questions and get a vendor-risk read on ownership, proof of work, data exposure, and handover gaps before you fund the build.
- Takes about 3 minutes
- Built for vendor decisions
The page shows the first risk instantly. Email sends the full report.
What AI agents plug into
The layers around an agent that has to run in production.
Software that works, in production
Our clients get to focus on their business, instead of babysitting the stack that holds it together. Client cases below are anonymized where compliance demands; the rest ship under their own names.
How we build AI workflows that stay controllable
Agentic does not have to mean opaque. We put the controls where the risk is: permissions, approvals, and audit around every AI-assisted step.
Frontend
The product your users and staff actually work in.
API
Typed contracts and validation at the boundary.
Workflow engine
The deterministic spine: states, rules, and handoffs.
Agentic workflow layer
Inspects context, suggests next steps, and triggers tools, with human approval where it matters.
AI / LLM services
Models behind evaluation and fallback logic, not raw and unchecked output.
Integrations
EMR, Stripe, CRM, scheduling, and internal APIs.
Audit, monitoring, permissions
Every AI-assisted step logged, observable, and role-gated.
Controls, not black boxes
- Human approval for sensitive actions
- Tool calls scoped by permissions
- Audit logs for every AI-assisted step
- Evaluation and fallback logic, not raw model output
- Role-based access throughout
- Observability in production
- Integration with EMR, Stripe, CRM, scheduling, or internal APIs
AI agent development, answered
What buyers ask before they start.
What is an AI agent?
An AI agent is software that takes a goal, decides the steps, and uses tools to complete a task with little or no human input. Unlike a chatbot, which only responds, an agent acts: it reads data, calls APIs, updates systems, and escalates to a person when it hits something it should not decide alone. The useful ones close a loop, not just hold a conversation.
How do you build an AI agent?
We start by mapping the workflow and its exceptions, then design the agent: which steps are deterministic rules, where the model makes a judgment, which actions need human approval, and how it fails safely. We ground it in your data, integrate it with your systems, add evaluation and logging, and test it against real cases before it touches anything that matters.
What can AI agents actually automate?
The judgment-plus-action work that rules alone cannot handle. Triaging and routing support tickets. Qualifying inbound leads. Reconciling records across systems. Reading documents and extracting structured data. Drafting replies for a human to approve. The best first candidate is a high-volume process where a person currently reads something, decides, and clicks.
Are AI agents reliable enough for production?
They are when they are built for it, and a liability when they are not. Reliability comes from the engineering around the model: scoped permissions, human approval on costly actions, evaluation and fallback instead of raw output, and an audit trail. We treat the model as one component in a controlled system, not as the whole system. That is the difference between a demo and something you can leave running.
Should we hire an AI agent development company or build in-house?
If you have senior engineers who know production AI and the spare capacity, in-house keeps the knowledge close. Most teams do not have both. An AI agent development company gets you a working, monitored agent faster and helps your team learn the controls. We are happy to build it with your engineers in the room so the capability stays after we leave.
How much does AI agent development cost, and how long does it take?
Send the workflow and the systems it touches. We reply with a scoped estimate, usually within 3 to 5 business days. A single, well-scoped agent is weeks. Cost tracks the number of integrations, how much judgment the work needs, and the level of oversight required. You can work hourly, fixed price, or as a dedicated team.
When are you not the right fit?
If the process is fully deterministic, you do not need an agent, you need a workflow, and we will tell you so instead of selling you a model. We are also the wrong call for a one-off experiment with no path to production. We earn our cost when the work needs real judgment, runs at volume, and has to stay reliable for years.
Tell us about your project
Send the shape of the problem, even if the requirements are still blurry. We reply with a scoped estimate, usually within 3 to 5 business days. No obligation, NDA on request.
- A senior engineer reads every brief, not a sales rep.
- If an off-the-shelf tool fits better, we will tell you.
- NDA on request before you share anything sensitive.
Prefer email? Write to business@highcraft.io
Rather talk it through? Book a 30-minute estimate review
“Alex and his team built the core of our Healthcare SaaS. Their grasp of HIPAA and GDPR was crucial for our telemedicine features, and they added AI into the EMR so providers could make better data-driven calls. They know the Microsoft stack and held to WCAG 2.1 throughout. For a healthcare product that needs regulatory care and real engineering, HighCraft.io is the partner you want.”
Oleg Shumar
Owner, GetTrusted.io