AI Division
Agents that handle the repetitive work.
An AI agent reads a request, decides what to do and acts in your tools, with a person approving the steps that matter. We build them for the work that clogs inboxes and spreadsheets: entering orders, matching invoices to POs, routing tickets, chasing approvals and preparing the weekly report.

In short
What does AI Agents and Automation from Code Colonies cover?
Agents that process orders, invoices, support tickets, approvals and reports. Deliverables include a ranked list of processes to automate, with likely hours saved; working agents connected to your systems; approval queues and a complete activity log; an evaluation report showing accuracy and exception rates. The work is delivered under 2good.dev at USD 2 or INR 199 an hour, a 150 hour minimum, no advance and payment after you accept the work.
- How does the work run?
- Assess (1 to 2 weeks, fixed scope), pilot (2 to 3 weeks), production (rollout) and managed operations (monthly).
- Which tools and standards are used?
- Anthropic Claude, OpenAI, Google Gemini, LangGraph, Claude Agent SDK and OpenAI Agents SDK, chosen to fit your systems.
- Who owns the result?
- You do. Once you accept and pay, the documents, code and intellectual property from the work are yours.
- How do I start?
- Book a call or send a short brief. A specialist replies within one working day.
When clients call us
Situations we are asked to resolve
- Your team copies the same details between email, Excel and your ERP every day.
- Support tickets sit in a queue until someone reads and routes each one.
- Month end reporting means days of copying, checking and formatting.
- You tried a chatbot. It answered questions but did not finish any tasks.
Scope
What the work covers
- Process mapping
- We sit with the people doing the work today and note every step, exception and approval.
- Agent design
- Tools, permissions and limits for each agent, with clear points where a person signs off.
- System connections
- Email, WhatsApp, Tally, SAP, Zoho, Salesforce, HubSpot, Google Workspace and your own APIs.
- Human in the loop
- Review queues, an audit trail and simple overrides, so your team stays in control.
- Evaluation
- Test sets built from your own past cases, checked before launch and every week after.
- Handover and training
- Runbooks and short sessions for the staff who will work alongside the agent.
How it runs
A clear path, with gates
- Step 11 to 2 weeks, fixed scopeAssessMap the process, estimate the savings and agree how success is measured.
- Step 22 to 3 weeksPilotOne agent on one process with real data. You pay once you accept it.
- Step 3RolloutProductionConnect to live systems, train the users and switch on monitoring.
- Step 4MonthlyManaged operationsQuality checks, cost control and improvements under an SLA.
Deliverables
What you receive, and what changes
What you receive
- A ranked list of processes to automate, with likely hours saved
- Working agents connected to your systems
- Approval queues and a complete activity log
- An evaluation report showing accuracy and exception rates
- Runbooks and a monitoring dashboard
What changes
- Less time spent copying and checking
- Quicker replies to customers and suppliers
- Fewer data entry mistakes
- A record of every action the agent took
- Typical stack
- Anthropic ClaudeOpenAIGoogle GeminiLangGraphClaude Agent SDKOpenAI Agents SDKMCPn8nPythonFastAPI
Start here
Talk to us about AI agents and automation.
Tell us what you are trying to achieve. A specialist replies within one working day, and the first conversation is free.
Questions
Will the agent act without anyone checking?
Only where you decide it can. Most clients start with every action going to a review queue, and let low risk steps run on their own once the accuracy numbers justify it.
Which systems can you connect to?
Anything with an API, a database or a structured export. Tally, SAP, Zoho, Salesforce, HubSpot, Shopify, Google Workspace, Microsoft 365, email and WhatsApp come up most often.
What does it cost to run?
Model usage is normally a small cost next to the time saved. We estimate running costs during the assessment and set budget alerts once it is live.