Your expense ledger
Three agents on one receipt
One agent reads the receipt and pulls the figures out. A second decides the category, a third works out who owes what, and the reconciliation lands in your database.
Autonomous AI agents
Stop talking to the AI. Start handing it the job.
A chatbot waits to be asked and then answers. An agent is given a goal, works out the steps and carries them out in the systems you already run.
- Pauses before it spends money
- Runs on your own APIs
A goalNot a prompt
Reads the dataYours, in place
Calls your APIsTool use
Checks its own workThen carries on
Asks a personHigh risk actions
Written backInto your system
What autonomous AI agents are
An autonomous AI agent is software that takes a goal rather than a prompt, then plans the steps and carries them out. It calls the tools it needs, checks what came back and decides what to do next. Several agents can split one job between them, which is what separates custom AI agent development from putting a chat window on a website.
A chat window was never the point
Most of the AI a business has tried so far answers a question and then stops there. Somebody still has to open the other four systems and then do the actual work by hand. The answer arrives faster and the job takes exactly as long as it did before.
- 01
The answer is not the work
A model tells your team what the refund policy says. Somebody still opens the billing system and issues it.
- 02
One prompt, one step
Anything that takes six steps takes six prompts, each typed by a person who has to know what the next one is.
- 03
Nobody trusts it with anything that matters
Without a place to stop and ask, an agent either gets nothing important to do or it gets something important and nobody sleeps.
What makes an agent an agent
- 01
Multi-agent orchestration
One agent plans and others carry out the steps, using frameworks such as CrewAI and AutoGen. Each one is given a narrow remit, and that narrowness is what keeps the whole thing reviewable.
- 02
API tool calling
The agent reaches into your systems through the APIs they already expose to everything else. It reads what came back and decides the next step from that rather than from a script.
- 03
Human in the loop
High risk actions stop and wait for a person. You decide which actions go on that list, and moving money is on it by default.
How the first three weeks run
- Week 1
01We watch the work
We spend two days sitting with your team, following the jobs that cross several systems. Every step gets a cost put against it.
- End of week 2
02You get a costed plan
The plan names which job an agent should take first, and what that saves every month. You decide whether any of it goes ahead.
- From week 3
03We build it and keep it running
The first agent goes live with a narrow remit and a person on the approvals. The remit widens once it has earned it.
A chatbot against an agent
Both are built on the same models. What separates them is whether the thing can act.
| Measure | A chatbot | An agent |
|---|---|---|
| What it does | Answers the question asked | Carries out the job given |
| Reaching your systems | None, it only produces text | Calls the APIs you already have |
| Multi-step work | One prompt gets one answer | Plans the steps and works through them |
| What starts it | A person typing | A schedule or an event in your system |
| When it is unsure | Answers anyway | Stops and asks a named person |
Multi-agent workflows in action
Three jobs where one agent would not be enough. In each of them the work is split, and the handover between agents is the part that makes it work.
Your stock system
A purchase order drafted for approval
An agent watches how fast things are selling and compares that against what is on the shelf. It drafts the order when a gap is coming and waits for a person to sign it off.
Your content pipeline
Research handed down a chain
One agent gathers what people are searching for and a second groups it into topics. A third turns the topics into outlines.
What an agent is allowed to do
An agent's remit is a decision you make. It is written down before anything is built, and it is widened later only on purpose.
- Which systems it can touch
- Named APIs, and nothing it was not given.
- Where it has to stop
- Any action on the approval list waits for a person.
- What it leaves behind
- Every step an agent took is readable afterwards.
What the agents are built from
We fit the agents around the systems you already run. Nothing on this list is a requirement, and the work goes ahead against whatever your software was built on.
- The models that plan
- ClaudeReasoning across several stepsGPTDrafting and classificationLlamaRuns inside your own network
- How they reach your tools
- MCPOne way into your systemsPythonThe steps that need real coden8nTriggers and scheduling
- What they run against
- PostgreSQLRecords and reportingStripePayments, behind an approvalDockerSame everywhere it runs
What people sayNot our words.
Not our words.
Theirs.
Every quote here is a real Trustpilot review. We did choose which ones to show you. The score beside them is the part we do not control, and it counts all 29 reviews.
Trustpilot4.4out of 5Excellent29 reviews · checked 19 August 2026Read all of them
These reviews are for Appkodes, our software product division.
A Joysale client on the product and the service
He runs a marketplace built on Joysale, our Letgo style product. The clip is his own account of working with us.
A Fantacy client on the build
Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.
An Airfinch client, filmed after his written review
Airfinch is our Airbnb style rentals product. He had already left the same review on GoodFirms before recording this.
A second Joysale client on the same product
Another marketplace running on Joysale. Worth watching beside the first, since the two bought the same thing.
Trustpilot
I've worked with Appkodes for 7 years on 4 different projects. We constantly require support or the implementation of new features, and we have the guarantee that the quality of their work remains the same throughout this time.
Juan VásquezSep 2025Trustpilot
Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.
Global SoftwinMay 2025Trustpilot
Appkodes team helped me to launch my healthcare application very quickly. Their software was very close to my requirements and adding some extra features made my project easy.
WassimApr 2025Trustpilot
I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonApr 2025Trustpilot
I worked with AppKodes for a website and mobile app development project, and overall, I'm very satisfied with the results. Their team was responsive and flexible throughout the process, and they delivered a product that met my expectations both in design and functionality.
Яша ФирузApr 2025Trustpilot
It was a good experience working with the team. They understood my ideas clearly and built everything as expected. The team was supportive, quick to respond, and helped me whenever I needed changes. Thank you for your hard work and support!
Prem SharmaApr 2025Trustpilot
I have got a mobile app project going on successfully with the team. Their Support is good. turn around time for any requirement is great. Every detail of my app is meticulously designed. THANK YOU APPKODES.
Fast Fiber NetworksApr 2025Trustpilot
Appkodes is a leader in developing high-quality applications and websites. It was a pleasure working with them, and this certainly won’t be our last collaboration. My experience was exceptional, they developed an outstanding app and website, with smooth and refined interactions.
BaderApr 2025Trustpilot
Overall very good experience. I have been availing services for past 3 years. They are available for discussions and resolving issues whenever we faced any. Mr. Saravana has been looking after our project and I'm very much happy with his timely response. I would definetely recommend.
Vannala RajuApr 2025Trustpilot
Initially, I was hesitant to deal with them, believing their customer service would be poor. However, I was surprised. They act with great responsibility and professional efficiency. My regards to them.
Ahmed NhariApr 2024Trustpilot
You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerJan 2024Trustpilot
Very professional. Our project was quite complex and they covered all the aspects. Appkodes did an amazing and professional job developing and creating our Apple and Android apps. I was positively impressed with the communication you can absolutely trust on what they say.
Anu JosephJul 2023Trustpilot
Mani and Saravanan of the Appkodes team are amazing, they have done the best to create and support my project! I give them 10/10 stars for their efforts and work!
Joely CineasJul 2023Trustpilot
It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezApr 2023Trustpilot
I've been working with Appkodes for almost a year and i can recommend them to work with as they are so much friendly and professional and you can clearly see it once you start your project right away. They are intact and they are transparent with their communication.
JohnFeb 2023Trustpilot
I have to be honest, sometimes it's hard to find a company or someone abroad to do your project. Not only might you waste your time and money, there is this thing called trust. In business you must trust the person you are dealing with.
Zack GizawDec 202216 of 29 reviews, plus 4 videos
Businesses we have built for
Frequently asked questions
Can AI agents work with the software we already use?
If it has an API, an agent can reach it. That covers the obvious ones like Stripe and it covers the dashboard somebody built for you years ago. Where there is no API we look at what the system does expose before proposing anything.
What happens if an autonomous agent makes a mistake?
The design assumes it will. High risk actions stop before they happen and wait for a named person to approve them, and moving money is on that list by default. Every step is logged, so a wrong decision is something you can find rather than something you infer from the result.
How much does it cost to run multi-agent workflows?
It is charged per job rather than per seat. Cost is kept down two ways. The cheap steps get a smaller model, and open weight models can be hosted on your own hardware where the volume justifies it. We put real numbers against your jobs in week two.
What are multi-agent AI solutions for business?
Several agents with narrow remits, splitting one job between them. One of them plans, another calls the tools, and a third checks what came back. Narrow remits are what make the work reviewable, and they are why a multi-agent system usually beats one agent asked to do everything.
Do you do CrewAI agent development?
Yes, and AutoGen. The framework is picked from what the job needs rather than from what we used last time. The agents still reach your systems through the same APIs.
How is this different from workflow automation?
Workflow automation runs a path somebody has already mapped out. An agent is given the goal and works the path out for itself, which is worth paying for when the steps change with the input.
Next stepLet AI do the repetitive
Let AI do the repetitive
half of the job.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.
