4.9/5 on Clutch — 13 verified reviews

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.

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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

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94%

Client retention

PhD-Level

Expert Team

51

AI Products

Top-Rated

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.

Defined Contracts

Each tool has a fixed input and output so its results stay the same.

Error Paths

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

Extensiv

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

Diesel Laptop

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

IFPG
DRAG

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 records
    Audit-logged tool calls
    HIPAA-safe automated documentation
    Compliance-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.

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HIPAA

SOC TYPE 2 Logo

SOC TYPE 2

gdpr-compliance

GDPR

NIST CSF

NIST CSF

ccpa-compliance

CCPA

PCI-DSS

PCI-DSS

iso-27001

ISO 27001

NIST AI RMF Logo

NIST AI RMF

FERPA Logo

FERPA

ISO 42001

hipaa-logo

HIPAA

SOC TYPE 2 Logo

SOC TYPE 2

gdpr-compliance

GDPR

NIST CSF

NIST CSF

ccpa-compliance

CCPA

PCI-DSS

PCI-DSS

iso-27001

ISO 27001

NIST AI RMF Logo

NIST AI RMF

FERPA Logo

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.

Awards and Recognition

Independent review platforms rank our AI work among the field's best. These badges come from verified client reviews and third-party evaluation, not from our own marketing team's claims.

Top Clutch Machine Learning Company San Francisco 2026
Top Clutch Artificial Intelligence Company 2024 Award
Upwork Top 1% · Top Rated
Clutch Spring Champion 2024
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top AI Development Company by Selected Firms
Top Clutch Chatbot Company 2024 Award
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026
Top Clutch Machine Learning Company San Francisco 2026
Top Clutch Artificial Intelligence Company 2024 Award
Upwork Top 1% · Top Rated
Clutch Spring Champion 2024
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top AI Development Company by Selected Firms
Top Clutch Chatbot Company 2024 Award
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026

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.

Problem

Demos That Break Live

A tool sails through a scripted demo, then hits your production schema and live traffic and starts returning wrong results or errors.

Solution

  • We test every tool against your real production data before it goes live.

  • We run load and edge-case checks that mirror the traffic you actually see.

  • We fix failure paths so a bad call returns a reason, not chaos.

Problem

Too Much Agent Reach

An agent granted broad access can touch more than it should, so one bad instruction or bug puts your system at risk.

Solution

  • We scope every tool to the least amount of access it truly needs.

  • We add approval gates before any action that changes or deletes real data.

  • We log every single tool call so you can trace exactly what happened.

Problem

Wrong Outputs Slip Through

An agent returns an answer that looks right but isn't, and the next step acts on it before any person catches it.

Solution

  • We add a validation layer that checks each output against known good rules.

  • We use chain-of-thought reasoning so the agent shows its full work before acting.

  • We flag any low-confidence answer for a human instead of acting on it.

Problem

Tools Drift When Systems Change

A tool built against today's schema quietly runs wrong once the system changes and no one notices until output degrades.

Solution

  • We monitor every tool's underlying schema and API contract for drift.

  • We alert your team the moment a tool starts failing, not after users notice.

  • We version tools so a system update doesn't silently break a live agent.

Problem

Demos That Break Live

A tool sails through a scripted demo, then hits your production schema and live traffic and starts returning wrong results or errors.

Solution

  • We test every tool against your real production data before it goes live.

  • We run load and edge-case checks that mirror the traffic you actually see.

  • We fix failure paths so a bad call returns a reason, not chaos.

Problem

Too Much Agent Reach

An agent granted broad access can touch more than it should, so one bad instruction or bug puts your system at risk.

Solution

  • We scope every tool to the least amount of access it truly needs.

  • We add approval gates before any action that changes or deletes real data.

  • We log every single tool call so you can trace exactly what happened.

Problem

Wrong Outputs Slip Through

An agent returns an answer that looks right but isn't, and the next step acts on it before any person catches it.

Solution

  • We add a validation layer that checks each output against known good rules.

  • We use chain-of-thought reasoning so the agent shows its full work before acting.

  • We flag any low-confidence answer for a human instead of acting on it.

Problem

Tools Drift When Systems Change

A tool built against today's schema quietly runs wrong once the system changes and no one notices until output degrades.

Solution

  • We monitor every tool's underlying schema and API contract for drift.

  • We alert your team the moment a tool starts failing, not after users notice.

  • We version tools so a system update doesn't silently break a live agent.

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

1

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.

2

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.

Design & Prototyping
3

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.

Development and Integration
4

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.

5

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.

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Agentic AI Use Cases with Real-World Business Examples

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Questions, Answered Plainly

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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.