AI Agents and Automation for Business
Automate processes with agents connected to your tools
AI agents that cut the time spent on repetitive processes by 60% to 90%. Fewer manual tasks, faster decisions and more time for your team.
CHALLENGES
Which of your company's processes still rely on manual work?
Data spread across tools that your team copies and checks by hand
Requests that go through too many steps before they get resolved
Reports that are built by hand over and over again
Little visibility into what is done and what is still pending
SOLUTION
AI agents that carry out tasks inside your processes
An agent can interpret a request, look up data, use connected tools and complete a sequence of actions. We define what it does automatically and what needs a person's approval.
1
They pick up tasks and requests coming from forms, emails or apps
2
They follow the rules and steps defined for each workflow
.webp)
3
They read and update records in your tools through integrations
4
They escalate exceptions that need review to a person
Want to learn more?
Complete guide to AI agents for business
USE CASES
Examples of processes you can automate with AI agents
Recurring report preparation
Before
The team gathers data from several sources, cross-checks it by hand and builds each report one by one.
After
An AI agent analyses each client's data, compares performance by period and against similar companies, and recommends actions in a report ready to review. Tookane now produces each full operating report in 1 minute.
See case →Request handling and routing
Before
Every request is reviewed, validated and assigned by hand, while the customer waits without knowing where their case stands.
After
A conversational agent guides the request step by step, validates documents, checks the case status and routes complex cases to the team with full context. Tecniseguros cut claims processing time by 90%.
See case →IMPACT
What you gain by automating operations with AI agents
Every figure comes from a published client case.
What our clients see:
90% less time gathering data
Agents take on repetitive tasks such as gathering data, logging information and preparing documents.
Datamindr case
Over 98% consistency across data sources
Agents run defined steps and reduce waiting times and transcription or coordination errors.
Untitled SLC case
100% traceability for every automated campaign
You set permissions, approval points and tracking for every action the agent takes.
BYmyCAR case
70-80% less time preparing the monthly report
Your team focuses on exceptions and on decisions that need judgement.
Untitled SLC case
AI agents built around your tools and processes
Integration with the apps, data and workflows your company already uses
Permissions and oversight defined for every agent action
Rollout by use case, starting from one specific need
Ongoing monitoring and improvement based on performance and exceptions
Supported by
.webp)
%20(2).png)
TECHNOLOGY
Agents, data and integrations working in one process
Language models with context
Agents use instructions, documentation and relevant data to understand the tasks they need to complete.
Action orchestration
We coordinate steps and calls to tools such as CRM, ERP and other connected apps.
Internal knowledge retrieval
When the case calls for it, we connect documents and knowledge bases to add context.
Validation and human review
We build permissions, logs and approvals into the critical points of the process.