Build autonomous workflows that sit directly over your existing infrastructure. We engineer AI agents that can deal with document triage and complex calculations, while your team can focus on high-stakes decisions.
Replace manual data entry with agents that instantly parse First Notice of Loss (FNOL) reports and orchestrate end-to-end health claims routing.
What you get:
Drop-off rates spike when customers face redundant questions. We can help you deploy AI agents that pre-fill onboarding and claims forms.
What you get:
Our custom AI agents can read and extract specific liability data from heavy subrogation packages, passing structured data payloads to your recovery teams.
What you get:
Our AI Agents can extract data from ACORD forms, loss runs, and submission packages to reduce manual rekeying and speed up review.
What you get:
Deploy intelligent agents to calculate multi-tier broker commissions and perform complex reconciliation cycles directly within your existing accounting software.
What you get:
Our team engineers intelligent workflows that execute standard policy renewals, address changes, and mid-term endorsements automatically within your core system.
What you get:
Explore our projects to see how we help insurance organizations reduce manual processing times and drive operational efficiency with custom AI-powered software.
1,500+ hours of broker time saved annually
The client's AI engine excelled at generating quotes and proposals, but its fragmented legacy web interface caused user drop-off during heavy AI processing cycles. Using React and Python, we built a scalable web application wrapper to ensure the balance between complex AI logic and human usability. Our team engineered a secure user journey featuring role management, automated email pipelines, dashboard gating, and a self-service Stripe payment integration with promotional pricing logic.
Two-part enterprise platform delivered in 18 months
Our team developed a cloud-based technology platform to automate complex medical bill reviews and invoice processing. Divided into two core systems (ARC Review and ARC Finance), the solution was built with an Angular and Java tech stack. It offers complex AG Grid data management for bill processing, high-performance RESTful APIs secured with JWT role-based filters, and distributed communication organized via RabbitMQ. The system is now used daily by internal staff and external B2B customers.
Deploying AI in insurance demands deep operational integration and strict data compliance. That's exactly what our team with solid expertise in insurtech development can offer.
We design custom AI agents engineered around your specific insurance documents, business rules, and legacy systems.
We eliminate operational bottlenecks by applying advanced AI capabilities directly to document processing and workflow routing.
Our custom AI agents handle complex underwriting data, policy reviews, and claim ingestion in seconds instead of hours.
Data protection is built into the architecture from day one. We ensure your AI agents process sensitive data in full compliance with industry standards.
We implement AI agents on top of your core operational systems, ensuring smooth data flow without disrupting your existing infrastructure.
We guide every technical decision by your real-world business outcomes and focus on solving actual operational bottlenecks for your business.
We deliver high-performance systems that solve real operational bottlenecks.
Benefit from our rich experience in building data-driven automated solutions and deep insurance domain knowledge.
With intelligent data extraction, we help you introduce rapid document parsing and accelerated routing to eliminate manual claim reviews.
Our custom web applications and enterprise portals unify fragmented legacy systems through robust backend frameworks and secure user role management.
Context-aware digital assistants replace rigid scripts with tailored AI intelligence that can manage complex operational data and enterprise workflows.
End-to-end workflow orchestration automates data entry across disparate systems to streamline document routing and reduce operational friction.
In AI agent and insurance AI chatbot development, we rely on a modern technology stack to deliver secure and scalable solutions aligned with your needs.
Choose an engagement model that fits your business processes and AI transformation strategy.
Inject specialized engineering talent into your existing team. Our developers and QA automation experts can rapidly increase your current delivery velocity.
Best for: In-house technical teams that need niche expertise.
Get a dedicated engineering team focused entirely on your business and keep your systems running smoothly without hiring in-house.
Best for: Enterprise casualty platforms, multi-agent insurance ecosystems, scaling insurtech startups.
We agree on the timeline and the budget upfront, then build and deliver a polished software solution ready for your users.
Best for: AI agent proofs-of-concept, standalone claims automation tools, legacy portal modernizations.
70% of our partners continue working with us for more than 2 years.
An AI agent is a production-ready software system that executes deterministic workflows. Its functionality goes much beyond that of a basic chatbot. It couples large language models with your existing business logic to ingest unstructured data (like medical bills or police reports) and execute tasks across your core infrastructure via API calls. Such a solution can operate independently within your defined risk boundaries.
They remove the manual verification bottleneck. In underwriting, AI agents pull third-party data instantly to calculate risk scores based on your custom criteria. For claims, such software can parse incoming documentation, check policy coverage limits, and flag inconsistencies for fraud triage. This compresses processing cycles from days to minutes.
Yes. We build agents as an orchestration layer that communicates with legacy databases and CRMs through REST APIs and webhooks. Our custom agents are designed to extract unstructured data from incoming queues and process it according to your business rules. Apart from this, they can write the output directly back into your existing systems without disrupting live operations.
ROI scales by eliminating operational leakage and manual data triage. Underwriters stop auditing forms manually and shift to high-risk edge cases. This can significantly spike application throughput. Automation of claims validation reduces settlement cycles and lowers administrative overhead per policy. Your savings are a result of a drop in cost-per-claim metrics.
Development of a functional pilot running in a sandbox environment takes from eight to twelve weeks. Deploying a production-grade agent integrated with core databases, custom LLM fine-tuning, and full compliance auditing requires more time. As a rule, a development team needs from four to six months. At Akveo, we always conduct a deep analysis of your requirements and an audit of your existing systems to provide you with accurate estimates and timelines before the development process begins.
