AI agents for companies that give your team its time back
We automate the tasks that eat up your team's time today: answering the same WhatsApp questions, moving data from documents into your systems, or copying information from one place to another.
WhatsApp
- Where is my order?
AI agent
- ✓ Checks your ERP
- ✓ Replies right away
- → Hands off to a person when needed
Your team
- Decides on the cases that need it.
What is an AI agent for business?
See details
An AI agent is a program that uses a language model to decide which steps to take, query your systems and complete a task, not just answer a question. We start with the simplest solution that works: sometimes an automation workflow is enough, and an agent is justified only when the task calls for it.
AI benefits
What we aim for your team to gain with an AI agent
More hours for work that needs judgment
Answers without the long wait
Better-served customers
A team with less tedious work
See details
These are the goals we design every agent around, and we measure them with you on your real process.
- More hours for work that needs judgment. We aim to hand repetitive tasks to the agent, so your team can spend its time on what needs a person.
- Answers without the long wait. We want your customers to stop waiting until the next day to sort out a simple question.
- Better-served customers. We aim for every customer to get a clear answer and, when their case needs it, to reach a person quickly.
- A team with less tedious work. The idea is to take the most draining tasks off your team, so people can focus on what they do best.
Use cases
AI process automation: which tasks an agent can take off your team
We pick one concrete task with you and measure how it is done today, so you can compare once the agent is running.
Customers answered right away on WhatsApp
An agent answers common questions, checks an order's status or books an appointment, and hands the conversation to a person when needed.
Documents that log themselves
It extracts data from invoices, forms or contracts and records it in your ERP or CRM, so your team only reviews the exceptions.
Less copy and paste between systems
It connects tools that are fed by hand today, such as spreadsheets, email and management systems, with workflows that run on their own and keep a log.
Answers with the source in sight
They answer from your manuals, policies and documents (RAG) and cite the source, so your team can check every answer.
Tools: We pick the tool for the case: n8n workflows when the process is clear and stable, and agents built with LangChain and LangGraph and deployed on Amazon Bedrock AgentCore when the task needs multi-step reasoning.
What it does not include
- Open-ended maintenance
The AKILI-SPECS methodology is open and free. What you hire is the team that applies it.
How we work
From the free session to an agent in production
You start with the free 30-min session and get a proposal within 48 h.
Proposal within 48 h
Proposal
Specification
Design and tasks
Execution
Testing
Validation
Close
What happens at each step
You start with the free 30-min session and get a proposal within 48 h. If it works for you, we begin with an in-depth process study and follow the AKILI-SPECS phases: your team approves each one before we move to the next.
- Proposal. We choose one concrete process with your team, see how it works today and propose what the agent should and should not do.
- Specification. We write the requirements: scope, integrations, data, when to hand off to a person and acceptance criteria.
- Design and tasks. We design how the agent connects to your systems and break the work into tasks that can be reviewed.
- Execution. We build the agent task by task, connected to your systems, and show you progress your team can test.
- Testing. We test it with real cases before opening it to customers or the whole team.
- Validation. Your team checks that the agent meets every acceptance criterion.
- Close. We leave it in production with monitoring and hand over the code, documentation and access. If you want us to stay with you, support goes in a separate contract.
Proof
A method you can review before you hire us
We are a team in Colombia with an open, verifiable methodology. You can read it today and see how we trace every requirement to the code.
A related case In progress
Paty Ruiz
Web design and an AI invoicing platform
Create invoices without typing them by hand.
See the case
Technology
An agent that works every day, not just in the demo
- LangGraph and LangChain
- AgentCore Runtime
- AgentCore Gateway
- AgentCore Memory
- AgentCore Identity
- AgentCore Observability
See the technology we use
So the agent works in daily operations, we deploy it on Amazon Bedrock AgentCore, the AWS platform for running agents with any framework and model. We write the agent logic in LangGraph or LangChain and use the AgentCore services each case needs.
AgentCore is also available in the AWS São Paulo Region, the closest to Colombia with these services.
For clear, stable processes, such as moving data between forms, spreadsheets and the CRM, we use n8n workflows: they are faster to build and easier to maintain.
For voice agents, voice-enabled chatbots and audio content creation, we use ElevenLabs. The voice assistant on this site runs on ElevenLabs, so you can try it as a live example.
Questions about AI agents
What companies ask most before they start.
What is the difference between a chatbot and an AI agent?
A traditional chatbot follows a script of questions and answers. An AI agent uses a language model to decide which steps to take, queries your systems and completes tasks, such as recording an order or updating a case, within the limits your team sets.
How long does it take?
It depends on the process and your systems. The proposal we send 48 h after the free session includes the timeline for your case. Before the agent is opened to customers or the whole area, your team tests it with real cases and approves it.
Will an AI agent replace my team?
That is not the goal. We design agents to take on repetitive tasks and hand cases that need judgment to a person. Your team supervises, corrects and decides.
What happens to my data?
It stays yours. We start from Colombia's personal data protection law (Ley 1581): together with your team we define which data the agent may use, who has access and what is logged, and we use no more data than the task needs.
How much does an AI agent cost?
It depends on the scope, the integrations with your systems, the state of your data and the support you need after launch. Before building it, we estimate the agent's total cost in four parts: building it, deploying it in the cloud, the transactions made through the agent and the use of the language models (LLMs). There can be several models, and the cost changes depending on which one is used. That is why we start with the free assessment session and send you a proposal for one concrete process.
What is Amazon Bedrock AgentCore?
It is the AWS platform for deploying and operating AI agents in production without managing servers. It is made of services you can use together or on their own, including Runtime to run the agent, Gateway to connect it to tools, Memory, Identity and Observability. It works with any framework and with models in or outside Amazon Bedrock.
Does AgentCore replace LangGraph or LangChain?
No. LangGraph and LangChain define how the agent reasons and acts. AgentCore runs it, gives it memory, connects it to tools and lets you monitor it in production. That is why we use both: we write the agent in LangGraph and deploy it on AgentCore.
When should we use n8n, and when an agent on AgentCore?
n8n fits clear, stable processes whose steps you can map in advance. An agent on AgentCore fits tasks that need multi-step reasoning, choosing which tool to use, remembering context, or enterprise-grade permissions and traceability. They often work together: n8n moves the data and the agent makes the decisions.
More about Akili
Other solutions and resources that may help you.
Which task would you take off your team today?
In the free 30-min session we choose together the task where an AI agent can give your team the most time back.
Book your free assessment · 30 min, no costMessage us on WhatsAppNext: Case Studies