Free your team from the tasks that fill their day, and get agents that run those tasks at a lower cost per case. We build autonomous AI agents for repetitive work: coding a claim, checking a document, answering a ticket, and chasing a missing field.
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As a custom AI agent development company, we build agents scoped to a particular task and wired into your existing systems
We build each agent around one bounded task, specifying its tool permissions and stopping conditions, then deploying it into your production environment.
You get a ranked list of tasks worth delegating to an agent, alongside the data and system access each one requires before development starts.
A working agent runs your real task on your production data within weeks, so you can measure its accuracy before approving the complete budget.
We connect the agent to your CRM, ERP, ticketing queue, and internal APIs through scoped service credentials that limit exactly what it can touch.
Agents run real tasks across various industries, freeing staff from routine tasks that took manual effort and significant time
Your clinicians receive a structured note from each visit recording, filed in the EHR and waiting for sign-off.
The agent builds the payer packet from the chart and submits it, then drops the reference into your auth queue.
Every claim comes back coded against current CPT and ICD-10 sets, with low-confidence lines held for your coder.
The agent verifies coverage with the payer at intake and writes only the confirmed result to the patient record.
Your team gets bank statements and payslips read on arrival, with any income figure failing your checks flagged.
Suspicious transactions are scored in real time, and each case file opens with the reasoning your auditor needs.
The agent screens each new account against sanctions and PEP lists and stores a written rationale for your audit.
The agent assembles the evidence packet for each disputed charge and files it with the issuer before the deadline.
Listing copy is drafted from supplier specs and kept consistent across every marketplace you currently sell on.
WISMO tickets get answered straight from carrier APIs, and refunds under your set limit skip the queue entirely.
The agent checks the return reason against your own policy and books the carrier pickup in the same conversation.
Purchase orders are drafted per SKU from sales velocity and lead times, then held for your buyer to release them.
Carrier updates are pulled continuously, and your customer hears about a slipped ETA before they ask about it.
Bills of lading and customs paperwork are parsed into your TMS whether they arrive as EDI 856 or as scanned PDFs.
Your sales team gets a fully priced quote for any lane inside their existing tool, built from live carrier rates.
Detention and damage events open a claim on their own, with photos and timestamps pulled from your driver app.
Supplier certificates are checked against spec on arrival, and mismatched lots are held before reaching the line.
The agent drafts next week's schedule from open orders and machine availability, ready for your planner to release.
Work orders are raised from sensor thresholds, with fault history and the last service date attached for the tech.
Inspection photos turn into a written non-conformance report, routed to the engineer who owns that process step.
AI agents help you replace manual, repetitive work with agents that run tasks accurately and around the clock
40%
Enterprise applications embedding task-specific AI agents by 2026, up from under 5% a year earlier
94%
AI agents contributing to both cost savings and revenue across 2,403 executives surveyed worldwide in 2026
50%
AI-enabled service programs can cut service interactions by 40 to 50 percent and lower cost-to-serve by over 20%
Our AI agent development services apply proven engineering practices to the workflows your business already runs every day
Cleveroad has built production software since 2011, with 280+ in-house engineers and 200+ delivered projects behind them. That team handles the integration half of an agent build, from legacy APIs to the permission models nobody documented.
Our AI engineers have shipped in 9 business domains, including healthcare, fintech, logistics, and ecommerce. We build each agent around the rules its own domain runs on, from CPT code sets to the sanctions lists a compliance team checks.
Cleveroad has integrated software with third-party platforms and internal systems on every project we deliver. We wire each agent in through scoped service credentials, so it acts only where you allow and nothing in your stack gets rebuilt.
We follow a proven AI agent development life cycle to deliver production-ready agents tailored to your business needs and existing systems
We map your operations to find the tasks with clean inputs and enough volume to justify an agent. You get a shortlist ranked by feasibility, data readiness, integration effort, and savings per run.
Key outcomes:
Candidate task shortlist
Data readiness assessment
Integration effort estimate
Delivery roadmap
Together we define what the agent may do and which tools it can call, plus the point where it must stop and ask you. Guardrails and the approval path are set here, before a line of code is written.
Key outcomes:
Task and tool specification
Prompt and retrieval design
Guardrail and approval rules
Evaluation criteria
The agent runs your real task against your own production data, deployed in cloud or on-premises to suit your security review. You watch its accuracy on live cases before funding full development.
Key outcomes:
Working agent build
Live task run
Accuracy baseline
Go or no-go decision
The agent connects to your CRM and ERP through scoped service accounts, with every call logged. Retry paths cover each step where it can fail, and security review runs in parallel with the build.
Key outcomes:
Production agent build
System integrations
Retry and fallback paths
Security sign-off
The agent is scored against a labeled test set, and run tracing switches on before the first live case. Autonomy then rises one step at a time, so your team sees how it behaves before it acts alone.
Key outcomes:
Regression test suite
Run tracing setup
Autonomy tuning
Support handover
We help our clients identify and develop agentic AI solutions that align with their business goals and improve daily workflows
Germany
Healthcare
Challenges solved during the development of a claims agent:
United Kingdom
Fintech
Challenges solved during the development of a credit scoring agent:
Learn about Cleveroad’s expertise in Projects Portfolio
in Projects Portfolio
Show moreWe keep deepening our expertise to meet your highest expectations and build business innovative products
ISO 27001
Information Security Management System
ISO 9001
Quality Management Systems
AWS
Select Partner Tier
Anthropic
Certified in the Claude Partner Network
AWS
Solutions Architect, Associate
AWS
SysOps Administrator, Associate
DenmarkCTPO of Penneo A/S
"Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."
We build AI agents on a proven technology stack selected to fit your infrastructure and your security requirements
Frameworks that set how your agent plans each task and calls its tools, with retry paths for every step that could fail
Hosted platforms that run your agent without a custom orchestration layer, so your first deployment starts within days
The reasoning engines behind each agent, chosen for accuracy on your own task and for where your data is allowed to sit
Vector stores that give your agent the context it needs, pulled from your own documents and your own transaction records
Protocols that let your agent read and write inside your business systems, under scoped credentials your team controls
Tooling that scores agent output against a labeled test set and records every step of every run it makes in production
We offer flexible engagement options from a classic human team to AI-native squad. Pick the model that matches your scope and budget
The dependable, human-led baseline suited to any kind of project.
Development budget
Team composition
Iterative delivery
Spec evolves during delivery
Write a sprint scope, deliver it, try it, then revise the spec or functionality.
Best for
Flexible-scope projects where each iteration reshapes the plan as you go
Your familiar full-stack squad, accelerated with AI support in every role.
Development budget
Team composition
Iterative delivery
Spec evolves during delivery
The same write-deliver-review sprint repeats, just accelerated with AI.
Best for
Brownfield projects that need fast iteration without locking scope too early
A minimal lean team with maximum AI leverage and strict human oversight.
Development budget
Team composition
AI Solution Architect. Owns the approved spec and the architecture the build follows
Prompt Engineer. Turns the spec into precise prompts and guardrails for AI code generation
AI Product Owner. Owns milestones and acceptance against the fixed spec
Milestone delivery
Spec locked before delivery
Approve once upfront. The spec becomes the source of truth for milestones.
Best for
MVPs and greenfield projects with fixed scope and milestone-driven delivery
70 clutch reviews
4.9
Award
Clutch 1000 Service Providers, 2024 Global
Award
Clutch Spring Award, 2025 Global
Ranking
Top AI Company,
2025 Award
Ranking
Top Software Developers, 2025 Award
Ranking
Top Web Developers, 2025 Award
Ranking
Top Staff Augmentation Company in USA, 2025 Award
