Platform
Implementation
Our insurance and AI experts work alongside your team to design the workflow, build the AI Agent, and bring it into production.
Implementation
From signed to live, faster
Hands-on from day one
Working alongside your team, from discovery through go-live
Discover and Design
Bevaya's insurance experts sit down with your team to map how work flows through your operation today — the channels it arrives on, the systems it has to touch, and the steps that slow it down.
Workflow Mapping | Operational
We walk the work end-to-end with the people who actually do it — intake clerks, underwriters, claims handlers — capturing every channel, handoff, and exception that shapes the queue today.
Systems Inventory | Connected
Every system the workflow touches gets catalogued: Guidewire, Outlook, SFTP drops, document stores, downstream rating engines. Nothing gets designed in a vacuum from the upstream and downstream stack.
Friction Diagnosis | Targeted
We isolate the specific steps that bleed time — rekeying, triage routing, low-confidence escalations — so the AI Agent gets pointed at the bottleneck, not retrofitted onto a happy path that doesn't exist.
Build and Validate
If your workflow matches a pre-built AI Agent, Bevaya configures it for your business rules and systems. If it's custom, we build it from the ground up. Either way, it connects to your stack — Guidewire, Outlook, SFTP, or whatever you run on — and gets tested against real work before it goes near production.
Pre-Built or Custom | Flexible
Match a pre-built agent and Bevaya configures it to your business rules in days. If the workflow is bespoke, we build the agent from scratch — same delivery team, same standards, no third-party handoff.
Stack Integration | Native
The agent plugs into Guidewire, Outlook, SFTP, or whatever combination of systems carries your work today. No middleware tax, no replatforming, no rewriting your policy admin to fit our pipeline.
Real-Work Tuning | Calibrated
We run the agent against your actual submissions, FNOLs, or claims files — tuning extraction rules, confidence thresholds, and routing logic with your operations leaders in the loop. Nothing goes live until they sign off.
Live and Improve
The AI Agent runs in production from day one with continuous management built in. You don't get a model dropped over the wall — you get a team that keeps tuning thresholds, watching exceptions, and rolling improvements forward as your book evolves.
Day-One Management | Managed
Continuous management starts the moment the agent goes live. A named Bevaya team owns model health, throughput, and exception trends — you don't inherit an ops burden you didn't ask for.
Production Monitoring | Observed
Every extraction, routing decision, and confidence score is logged and dashboarded. Drift, edge cases, and new document variants surface fast instead of quietly degrading queue quality.
Continuous Improvement | Compounding
Threshold tuning, new field mappings, and retraining on freshly handled documents roll out on a regular cadence — so the agent in month 12 is meaningfully sharper than the one that went live in month one.
CONTINUOUS MANAGEMENT
A team that stays with your account.
Bevaya monitors performance, retrains models, and improves accuracy as the work continues.
Named team | Continuous Management
A Bevaya team that knows your account. They monitor accuracy, manage model performance, and resolve issues as they surface.
- A named continuous management team assigned to your account
- Account-specific knowledge of your workflows and edge cases
- Active monitoring of accuracy and model performance
- Issues surfaced and resolved before they reach your team
- A single point of contact for performance questions
- Quarterly reviews held with your team on a recurring cadence
Model curation | Continuous Management
Insurance domain experts update every InsurGPT™ model. It's the only thing they do.
- Dedicated insurance domain experts curating every InsurGPT™ model
- Model updates informed by carrier-specific terminology and edge cases
- Coverage of new forms, schedules, and document variants as they emerge
- Curation focused exclusively on insurance — no general-purpose drift
- Updates rolled into your workflows without rework on your side
- Continuous improvement as the work continues, not a one-time setup
Retraining & drift | Continuous Management
Bevaya monitors for drift, retrains on new data, and runs controlled rollouts with A/B testing.
- Drift detection across extraction accuracy and confidence distributions
- Retraining on new data as document patterns evolve
- Controlled rollouts with A/B testing before full promotion
- Side-by-side comparison of model versions on live traffic
- Rollback paths if a new version underperforms in production
- Transparent reporting on what changed and why
Continuous management
HYour models keep improving after launch
Model retraining keeps models adapting to new document formats and shifting volumes.
Drift detection surfaces accuracy changes through automated monitoring before they spread.
A/B rollouts ship new model versions under controlled comparison.
Early flagging through quarterly reviews and proactive alerts. If something stalls, you'll hear about it from us first.
Performance benchmarks measure every release against accuracy, latency, and cost baselines.
Versioned releases log every model change with a clear rollback path.
FAQ
Frequently asked.
Most deployments go live in 8 to 12 weeks. Some customers see first production results in as little as 3 weeks for use cases that match a pre-built AI Agent. InsurGPT is pre-trained on insurance documents, so there's no long ramp-up while the model learns your industry.
Light. Bevaya connects to your systems through APIs, SFTP, or Outlook. Most integrations go in alongside the AI Agent build in 8 to 12 weeks. Your IT team scopes access and signs off on security. The workflow build, AI configuration, and platform operations sit with the team leading the engagement.
Yes. Bevaya works with leading consulting firms and systems integrators across insurance. The partner leads the engagement and brings the industry context; Bevaya's team supports the platform underneath. See current partners →
Monitoring accuracy and STP rates against your SLA. Retraining models when document formats change or volumes shift. Triaging exceptions surfaced through the Review Queue. Quarterly business reviews with your operations leaders. Expansion planning when you're ready for the next workflow.
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See what Bevaya can
do for your operations
Let's walk through your specific workflows, show you exactly where AI Agents fit,
and give you a clear picture of what results could look like at your organization.