AI Agent Skills and Tool Development Services
An AI agent that can reason but can't safely act on real systems is stuck. Kodexo Labs designs AI agent tools development services that let agents work against live production data, reaching 90%+ query accuracy for Extensiv.
Send us a brief
TRUSTED BY ENTERPRISES


















The six areas below cover how we give your agents the ability to do real work: build the tools, connect your systems, set guardrails, and ship. Every build is scoped before code starts.
Core Capabilities
Custom tools and function calls your agent triggers against live systems.
A versioned skills library so agent capabilities stay consistent over time.
Secure integration with your existing enterprise systems, APIs, and databases.
Orchestration and permission scoping so multiple agents share tools safely.
Guardrails, testing, and evaluation that catch wrong outputs before they act.
Production deployment and monitoring that keeps tools reliable under real load.
IN THE NEWS









Client retention
Expert Team
AI Products
AI Development Company
AI Agent Tools Development, Explained
Your agent already reasons well. What it lacks is a safe way to act: query a database, update a record, call an API. These five capability areas give it that reach, each scoped and guardrailed first.
Custom Tool & Function Development
When your agent needs to pull an order, we ship an AI agent development tool that does precisely that, reliably, every single time.
Each tool has a fixed input and output so its results stay the same.
When a call fails, the tool returns a clear reason and never a crash.

Great in the Demo, Broken on Your Data
A tool that passes a scripted demo often falls apart the moment it meets your schemas and live traffic. We fix that gap.
Tools in Real Production

Extensiv
Extensiv's operations team waited on engineers for every data question they had. We built an agentic system on LangGraph that reads plain-English questions and answers them straight from their own operational database. This Inc. 5000 logistics company now self-serves at 90%+ accuracy across 207 tables and 4 databases, with no engineering ticket required anymore.
90%+
SQL Accuracy
207
Tables
04
Databases


Diesel Laptops
Fleet technicians at Diesel Laptops lost more time searching records than fixing trucks. Kodexo built an agentic search system across 160,000 technical records, self-hosted inside the client's own AWS VPC for data control. Technicians now find the right part in seconds, an 85% drop in lookup time, at an Inc. 5000 company.
85%
Faster Lookup
160,000
Records Searched
AWS VPC
Self-Hosted


IFPG
Franchise prospects at IFPG were getting broken, error-filled answers across more than 1,000 listings, and leads died at the first click. Kodexo rebuilt the reasoning layer with chain-of-thought prompting, so the system works through each question step by step. HTML errors hit zero, and answer accuracy climbed 85%.
1,000+
Listings
85%
Accuracy Lift
Zero
HTML Errors

What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.

Christopher Brigham
MD President, Brigham and Associates, Inc.

WATCH VIDEO
- Permission-scoped clinical recordsAudit-logged tool callsHIPAA-safe automated documentationCompliance-bound patient data
Industries We Build AI Agent Tools For
Every industry has its own systems, rules, and failure points. We've shipped agent tooling into healthcare, logistics, legal, automotive, retail, and more, each build shaped by what that sector actually needs from an agent.

The Team Behind the Tools You Trust
You're not just buying code. You're betting on the team that will keep your agent tooling working long after launch. We stay, which is why 94 percent of our clients stay with us.
Security and Compliance Built Into Every Tool We Ship
Agent tools touch sensitive data, so every build we ship maps to the standards your auditors already ask about. We design permission scoping, audit trails, and encryption into the tooling from day one, then match each control to the specific framework your industry requires.

HIPAA

SOC TYPE 2

GDPR

NIST CSF

CCPA

PCI-DSS

ISO 27001

NIST AI RMF

FERPA

ISO 42001

HIPAA

SOC TYPE 2

GDPR

NIST CSF

CCPA

PCI-DSS

ISO 27001

NIST AI RMF

FERPA

ISO 42001
Why Founders Choose Kodexo Labs to Build and Run Their Production Agent Tooling
Plenty of teams can wire up a demo. Far fewer can build agent tools that hold against real schemas, real permissions, and real traffic once they go live. Here is what sets our work apart.

Tools That Survive Production
Most agent demos never see real load. Extensiv's does. We built LangGraph tool calling that runs live queries on their own full database, and it has run in production daily since day one.

Skill Specs Before Code
Rework kills agent budgets. Before we write a tool, a short discovery sprint locks the spec: function schemas, error paths, permission scopes. You sign off first, so the build tracks a fixed target.

Integration Inside Your Walls
Some data can never leave your walls. Diesel Laptops needed that, so we ran their agent search tooling self-hosted in the client's own AWS VPC. Their technical archive never left their own cloud.

Validated Outputs By Design
Bad answers cost trust. IFPG's chatbot fed users broken replies. So we paired chain-of-thought reasoning with a layer that vets each reply. Broken formats are gone and answer accuracy is now way up.

Have a Tool or Skill Use Case to Scope?
Send it over. We will map it to a buildable toolset and tell you exactly what ships in sprint 1.
Overcoming AI Agent Tool Development Challenges
Most agent tool projects don't fail at the demo. They fail later, when real schemas, real permissions, and real users hit code that was only tested in ideal conditions. Here are the three risks we design against from the start.
The Stack Behind Your Agent Tools
We pick each framework for the job, not for hype, then back every choice with production monitoring.
























How We Run AI Agent Tools Development
Discovery & Tool Inventory
First we map what your agent needs to do and every system it must touch. We inventory the data sources, the APIs, and the actions, then rank each tool by value and delivery risk. Our AI agent consulting services start here.

Tool & Skill Design Spec
Next we write the full spec before any code: the function schema for each tool, its error paths, and its permission scope. You review and approve it, so the build has an agreed target.

Build & Integration
Now our engineers build each tool and wire it into your live systems, one at a time. We integrate against your real data early, so problems surface in week two, not before launch.

Testing, Guardrails & Evaluation
Before anything ships, every tool runs through evaluation against real cases, plus guardrail checks and permission tests. We score accuracy, catch wrong outputs, and confirm each tool does only what it's allowed to do.

Production Deployment & Handoff
Finally we deploy to production, set up monitoring, and hand over documentation. You get dashboards that show how each tool performs, plus a team that stays on to tune and support your AI agent tools development services after launch.

Related Insights

Agentic AI Applications, Benefits and Challenges in Healthcare
August 2025 · By Kodexo Labs
A comprehensive guide to agentic AI applications in healthcare for 2025, covering benefits, challenges, technical infrastructure, leading platforms, and implementation best practices.

What Is Agentic AI? Definition, Types and Examples
July 2025 · By Kodexo Labs
Discover what agentic AI is, its core definitions, types, and real-world examples. This guide explores how autonomous AI agents revolutionize business through proactive decision-making, environmental adaptation, and continuous learning across industries like finance, healthcare, and manufacturing.

7 Promising Agentic AI Use Cases with Real-World Business Examples for 2025
August 2025 · By Kodexo Labs
Explore 7 promising agentic AI use cases for 2025, including autonomous customer support, supply chain optimization, and personalized retail experiences, with real-world examples demonstrating 20-60% efficiency gains and ROI within 6-18 months across healthcare, sales, retail, and more.
Questions, Answered Plainly
AI agent tools are the functions an AI agent calls to do real work: query a database, update a record, or send a request to another system. Kodexo Labs builds each AI agent development tool through one lifecycle: scoping, tool design, integration, testing, and deployment, backed by 51 products shipped.






















