Business AI agents
Build AI agents for business workflows: information retrieval, draft preparation, and system integration with access boundaries and human approval.
Explore solution →AI implementation
AI implementation connected to your business systems.
AI implementation for businesses: AI agents, chatbots, document RAG, and reporting automation. System integration, pilot evaluation, and handover.
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From a design to a system people use.
Design integration
Build & test
Prepare handover
What the work covers.
For teams with a priority use case or a pilot that needs to become an operational system.
- RAG and document search with source references
- AI agents with action boundaries and human approval
- ERP, CRM, or data-source integration within an agreed scope
- Testing, documentation, training, and handover
Prepare together
Clear scope before work begins.
Data readiness, integration access, business ownership, and IT approvals determine delivery time. Pilot and production targets are agreed separately after scoping.
- The need and process owner
- Deliverables, boundaries, and acceptance criteria
- Timing, costs, responsibilities, and support
From prototype to a usable system
A prototype tests an idea, but an operational system also needs user access, integration, failure testing, and maintenance. KODE plans implementation with process owners and IT. Define data sources, AI action boundaries, acceptance criteria, and post-launch responsibilities before building.
Choose a workflow
AI solutions for your business needs
AI chatbots for customer service
Develop AI chatbots and customer service assistants grounded in business information, with answer references, staff review, and escalation workflows.
Explore solution →RAG and document search
Build an AI knowledge base to search procedures, manuals, and internal policies, with document references and access aligned to business needs.
Explore solution →Business reporting automation
Automate reporting from spreadsheets, ERP, and operational sources. Prepare AI-assisted summaries with data checks and review by your team.
Explore solution →Cost and next steps
Cost is determined after discussing goals, scope, data readiness, integrations, and support needs. Describe the process and intended outcome; confidential data is not required for the first conversation.
How to choose an AI consultant →Related services
Your next step
Start with one task you want to improve.
Tell us which process takes up your team’s time. We’ll explore the need, data readiness, and a practical first step.
Guides for your decision
Budget & decisions
AI Implementation Costs: What Should a Business Budget For?
Understand business AI implementation costs: data preparation, integrations, testing, model usage, and support after launch.
Read guide →Budget & decisions
Buy AI Software or Build a Custom System?
Choose ready-made AI software, integrations, or a custom system based on workflows, data, operating costs, and ownership.
Read guide →
Data & implementation
What Should You Prepare for Reporting Automation?
Prepare reporting automation with clear KPI definitions, data sources, calculation rules, corrections, and human review.
Read guide →Open checklist
Business AI Implementation Readiness Checklist
An open checklist for goals, data, access, evaluation, budget, and operational ownership before starting an AI project.
Read guide →