Dedicated AI automation team.
AI automation engineers, RPA developers and integration engineers work only on your processes, as a dedicated AI automation team. Azendo employs, trains and manages them from its own offices in Chiang Mai and Bangkok, Thailand. They automate one workflow at a time. You choose which one goes first.
What you get and what you pay.
With offshore staffing or staff augmentation, the provider finds an AI automation engineer and the managing is left to you. We do it as a full service. The AI automation engineers are ours: we employ them, assign them to you full time, give them an office and equipment, train and coach them, and run delivery with you every week.
Price examples
Mid-level, full time, everything below included. Junior and senior levels are priced in your proposal. All 27 things included ››
- AI automation engineer From USD 3,700 per month
- Workflow automation specialist From USD 3,700 per month
- Integration engineer From USD 3,700 per month
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Service
We manage and develop the team
- A service delivery manager who runs the team and answers for delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every specialist
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our own office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
One monthly fee. Everything around the AI automation engineer is in it.
You agree a monthly capacity in hours with us. The fee covers the AI automation engineer's salary and every layer around it: the service delivery manager who runs the team, training and development, the workplace, the equipment and the HR behind the employment. It is the same amount every month.
- One agreement and one invoice, with no upfront fee or management surcharge
- Holidays are already priced in, so April and May cost the same
- Capacity moves up or down at the next monthly cycle
Your AI automation team, tailored down to every detail.
We select every person for your stack, your product and the way your team works. When the right AI automation engineers are not already with us, we headhunt them and test them ourselves before you meet them.
- Roles and seniority
- Stack and domain
- Way of working
- Capacity and start date
Talk to our teamBook a scoping call - 25 Week 1 Sourcing Headhunted for your brief
- 12 Week 2 AI processing and screening Matched to your stack
- 5 Week 3 Technical testing Pass technical testing
- 1 Week 4 Mindset, culture and logic Proposed to you
Any role your roadmap needs.
These four are the AI automation engineering roles with their own pages. Beyond them we assign specialists across ten disciplines, on the same agreement and with the same service delivery manager.
What a dedicated AI automation team works on.
Companies hire AI agent developers when manual work piles up in support, finance or operations and off-the-shelf tools only cover part of it. The team maps one process, automates it with agent workflows and integrations, measures the hours it saves and moves on to the next. Guardrails come first: scoped tool access, human approval on important actions and alerts when something fails, all agreed before anything touches a live system.
- Process mappingEach step of the workflow written down, with the exceptions, before anything is automated.
- Agent workflowsAgents and workflows in n8n, Temporal or LangChain that do the repetitive steps.
- IntegrationsYour CRM, helpdesk, finance tools and internal APIs connected through webhooks and APIs.
- Guardrails and human reviewScoped access, approval steps and limits on what an agent may do on its own.
- MonitoringLogs, alerts and failure reports, so a stuck workflow is noticed in minutes.
- MeasurementHours saved and error rates tracked per workflow, so you see what each one returns.
Stacks we work in
- LangChain
- n8n
- Temporal
- Zapier
- Make
- REST APIs
- GraphQL
- Webhooks
- Slack API
- Google Workspace APIs
- Logging
- Guardrails
- Human-in-the-loop review
- Datadog
- Sentry
Matched to what you run today, agreed at scoping.
What a dedicated AI automation team is.
A dedicated AI automation team is a group of engineers who automate one company's workflows, full time, with AI, RPA and integrations. They take one process at a time from manual to automated and keep it running. You choose the order, and Azendo employs the engineers and runs delivery with you.
Where it pays off most
It pays off when the same manual work runs every day across your teams: documents to read, records to copy between systems, requests to route. Each automated workflow frees time, and the engineers who built it stay to maintain it and to take on the next one.
Who is on the team
- AI automation engineerAgent workflows and integrations
- RPA developerRobotic process automation
- Workflow automation specialistManual work mapped and replaced
- Integration engineerAPIs, events and middleware
- Service delivery managerRuns the team on our side and answers for delivery
- Talent Success managerFor every specialist: a development plan and coaching every month
- Your product ownerSets the priorities and accepts the work
Other ways to build an AI automation team, compared.
| Dedicated team, Azendo | Staff augmentation | Project outsourcing | |
|---|---|---|---|
| What you buy | Agreed monthly capacity from people who work only on your product | A person's hours, billed by the hour or the month | A defined scope, at a fixed price or on time and materials |
| Who manages the work | A service delivery manager, with you setting the priorities | You do, day to day: Azendo's estimate is four to eight hours a week per specialist | The vendor's project manager |
| Who answers for delivery | Azendo, every week | You do | The vendor, against the agreed scope |
| How long people stay | On your product, and with Azendo for 3.3 years on average | Until the contract ends | Until the project is handed over |
| Best fit | A product that keeps growing, with a roadmap that runs for years | A short gap in a team you already run | One project with a clear end |
Try us, at zero risk.
- No deposit
- No upfront fee
- No commitment
We agree a time to hire with you. If we can't find the right people for your team within it, you walk away with no commitment and nothing to pay.
Get in touch"We don't hand you an AI automation engineer and step back. We build the team around your product, and we stay in it every week."
Mikkel Schmidt, CEO and founder
Questions about a dedicated AI automation team.
What does a dedicated AI automation team do?
It automates your internal processes full time, one workflow at a time: process mapping, agent workflows, integrations, guardrails and monitoring. With Azendo the engineers are ours, managed from Chiang Mai and Bangkok, and they work in your systems under your access rules.
How much does it cost to hire AI agent developers this way?
AI automation engineers, RPA developers, workflow automation specialists and integration engineers start from USD 3,700 per month at mid-level, full time. The fee covers the engineer and everything around them: delivery management, a Talent Success Manager and training, the office and equipment, HR and payroll. See how the monthly fee is built.
Which process should we automate first?
One that repeats often, follows clear rules and costs real hours, such as ticket triage, invoice matching or data entry between systems. The team maps it with the people who do the work today, then automates the parts that are safe to hand over.
What happens when an agent gets something wrong?
The guardrails decide. Important actions wait for a person to approve them, every run is logged, and a failure sends an alert to the right owner. Limits on what an agent may do on its own are agreed with you before it goes live.
Which tools does the team use?
n8n, Temporal, LangChain, Zapier and Make for orchestration, with your own APIs, webhooks, Slack and Google Workspace. Datadog or Sentry watch the runs. The engineers pick what fits your systems and keep every automation in your accounts, documented for whoever maintains it next.
How is AI automation different from AI engineering?
AI automation applies AI to your internal work. AI engineering builds AI features into the product your customers use. A dedicated AI engineering team can join under the same agreement when both are on the roadmap.
Do we keep control of our systems?
Yes. The automations run in your accounts, with the access you grant, and you can switch any workflow off. Our managers stay out of your systems and follow delivery through tracked hours, weekly reports and your delivery score.
Disciplines that join an AI automation team.
Each discipline joins under the same agreement, works in the same sprints and reports to the same service delivery manager. You add one at the next monthly cycle, when the roadmap calls for it.
AI automation team Ai automation engineer, rpa developer, workflow automation specialist, integration engineer. The core of the team. On the team 
AI engineering LLM features, retrieval and evaluation Add to the team → 
MLOps engineering Deploying and monitoring models in production Add to the team → 
Data science Analysis, models and evaluation Add to the team → 
Cloud and DevOps Infrastructure as code, CI/CD, observability Add to the team → Let's scope your AI automation team.
Thirty minutes with a service delivery manager. You leave with a clear picture of the team you would need, what it would deliver and when it could start.
- No deposit and no upfront fee
- No commitment until the right people are on your team
- If we can't find them inside the agreed window, you walk away at no cost
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