AI Agent Developer: Dallas

Hire an AI agent developer in Dallas.

A Dallas insurance adjuster handles 15 to 20 claims per day and touches each file 4 to 6 times across different systems: intake the claim, request documentation, look up coverage, calculate the payout, draft the settlement offer. For straightforward claims, each of those steps is deterministic. The adjuster is executing a lookup sequence, not making a judgment call.

An AI agent that handles documentation requests, coverage lookups, payout calculations, and settlement draft generation reduces adjuster involvement to review and approval on those straightforward claims. For complex claims, the agent compiles the relevant information so the adjuster can make the decision in 15 minutes instead of 90.

HUB International, Hilltop Holdings, and USAA regional offices in Dallas all run claims workflows with this structure. We build the agents that handle the repeatable steps.

How we work

Tell us about your claims or operations workflow.

The claims processing bottleneck.

A claims adjuster earning $65,000 to $80,000 per year handles 15 to 20 claims per day. Each claim requires 4 to 6 system interactions: pull the policy record, review the documentation, query the coverage table, run the payout calculation, generate the settlement draft, and update the claims management system. That is 60 to 120 system interactions per day, most of them lookup operations.

For a 30-person claims team, that is 1,800 to 3,600 system interactions per day where a human is executing a query, reading a result, and copying a value into another field. This is not claims judgment. It is data assembly.

AT&T's IT operations team in Dallas faces the same structure in infrastructure incident response. An alert fires, a tier-1 engineer queries the runbook, checks the affected system's status page, pulls the recent change log, and drafts an initial response procedure. This takes 20 to 40 minutes before any remediation begins.

An agent wired to the runbook database, the infrastructure monitoring API, and the change management system assembles the same information package in 90 seconds. The engineer reviews the draft and acts. Mean time to response drops by 60 to 70 percent on routine incidents.

What an agent changes for adjusters.

Specific changes to the adjuster's workday, not abstract efficiency claims.

Documentation requests go out automatically

When a required document is missing from the claim file, the agent sends the documentation request without adjuster involvement. The adjuster sees the claim again when the documents arrive.

Coverage lookups take 3 seconds, not 3 minutes

The agent queries the policy system, retrieves the coverage record, and attaches it to the claim file. The adjuster never opens the policy system for a straightforward coverage check.

Settlement drafts start populated

For claims within coverage and below the settlement threshold, the agent generates a draft settlement letter with the claimant name, policy number, claim amount, and coverage basis filled in. The adjuster reviews, adjusts if needed, and approves.

What we build for Dallas insurance and operations teams.

Claims management system integration

Connectors to Guidewire ClaimCenter, Duck Creek, Majesco, and custom claims databases. The agent reads and writes claims records with every action logged.

Policy and coverage lookup tools

Normalized coverage lookup across multiple policy systems. Each tool call returns a standardized coverage record regardless of the underlying system's data format.

Document parsing and request generation

PDF and image extraction for submitted documentation. Missing document detection with automated request generation in your required format and letterhead.

Regulatory audit logging

Immutable step-level logs for every agent action. Satisfies NAIC model law requirements for automated decision documentation. Exportable for regulatory examination.

Questions from Dallas insurance teams.

How do you prevent an insurance agent from taking actions on claims it is not authorized to settle, including coverage thresholds and escalation triggers?: Authorization rules are enforced at the tool level. The agent has a separate tool for each action type, and each tool has an explicit authorization check built in. A settlement tool that requires approval above $10,000 runs the threshold check before executing. If the claim value exceeds the threshold, the tool returns a pending approval status and queues the claim for adjuster review. The agent cannot bypass this because the check is inside the tool, not in the prompt.
What happens when a claims agent encounters a document it does not recognize or cannot parse, and what is the fallback?: The document parser returns a confidence score with every extraction. Below a defined threshold, the agent stops the automated workflow, flags the document as unrecognized, and queues the claim for manual review with a note indicating which extraction failed. The adjuster sees the original document plus whatever partial data the agent did extract successfully. No claim moves forward on a failed parse.
Can an agent reliably perform coverage lookups across multiple policy systems that have different APIs and data formats?: Yes, with a normalization layer. We build a coverage lookup tool that handles the API differences and returns a standardized coverage record regardless of which system it came from. The agent calls the normalized tool rather than the raw APIs directly. If a policy system returns data in a format the normalizer does not recognize, it raises an error that surfaces to the adjuster rather than silently passing bad data forward.
How do you build the audit trail required by insurance regulators for automated claims decisions?: Every agent run is logged at the step level: which tool was called, what data it received, what it returned, and what the agent decided to do next. The log is immutable and stored separately from the claims system. For each claim the agent touches, there is a complete record of every automated action and the data that produced it. The adjuster review and approval is logged as a separate event. This structure satisfies NAIC model law requirements for automated decision documentation.

Describe the claims or operations workflow.

Walk us through the steps your adjusters or operations team execute manually today. We will reply within one business day with a scope and price range.

Hire an AI agent developer in Dallas.

HUB International, Hilltop Holdings, and USAA regional offices in Dallas all run claims workflows with this structure. We build the agents that handle the repeatable steps.

The claims processing bottleneck.

What an agent changes for adjusters.

Specific changes to the adjuster's workday, not abstract efficiency claims.

Documentation requests go out automatically

When a required document is missing from the claim file, the agent sends the documentation request without adjuster involvement. The adjuster sees the claim again when the documents arrive.

Coverage lookups take 3 seconds, not 3 minutes

The agent queries the policy system, retrieves the coverage record, and attaches it to the claim file. The adjuster never opens the policy system for a straightforward coverage check.

Settlement drafts start populated

What we build for Dallas insurance and operations teams.

Claims management system integration

Connectors to Guidewire ClaimCenter, Duck Creek, Majesco, and custom claims databases. The agent reads and writes claims records with every action logged.

Policy and coverage lookup tools

Normalized coverage lookup across multiple policy systems. Each tool call returns a standardized coverage record regardless of the underlying system's data format.

Document parsing and request generation

PDF and image extraction for submitted documentation. Missing document detection with automated request generation in your required format and letterhead.

Regulatory audit logging

Immutable step-level logs for every agent action. Satisfies NAIC model law requirements for automated decision documentation. Exportable for regulatory examination.

Questions from Dallas insurance teams.

How do you prevent an insurance agent from taking actions on claims it is not authorized to settle, including coverage thresholds and escalation triggers?

Authorization rules are enforced at the tool level. The agent has a separate tool for each action type, and each tool has an explicit authorization check built in. A settlement tool that requires approval above $10,000 runs the threshold check before executing. If the claim value exceeds the threshold, the tool returns a pending approval status and queues the claim for adjuster review. The agent cannot bypass this because the check is inside the tool, not in the prompt.

What happens when a claims agent encounters a document it does not recognize or cannot parse, and what is the fallback?

The document parser returns a confidence score with every extraction. Below a defined threshold, the agent stops the automated workflow, flags the document as unrecognized, and queues the claim for manual review with a note indicating which extraction failed. The adjuster sees the original document plus whatever partial data the agent did extract successfully. No claim moves forward on a failed parse.

Can an agent reliably perform coverage lookups across multiple policy systems that have different APIs and data formats?

Yes, with a normalization layer. We build a coverage lookup tool that handles the API differences and returns a standardized coverage record regardless of which system it came from. The agent calls the normalized tool rather than the raw APIs directly. If a policy system returns data in a format the normalizer does not recognize, it raises an error that surfaces to the adjuster rather than silently passing bad data forward.

How do you build the audit trail required by insurance regulators for automated claims decisions?

Every agent run is logged at the step level: which tool was called, what data it received, what it returned, and what the agent decided to do next. The log is immutable and stored separately from the claims system. For each claim the agent touches, there is a complete record of every automated action and the data that produced it. The adjuster review and approval is logged as a separate event. This structure satisfies NAIC model law requirements for automated decision documentation.

Describe the claims or operations workflow.

Walk us through the steps your adjusters or operations team execute manually today. We will reply within one business day with a scope and price range.