SphereIQ AI Teammates are not chatbots or generic copilots. They are purpose-built autonomous agents trained on your industry workflows, connected to your core systems, and governed by enterprise-grade controls. Here's exactly how they work.
Every deployment starts with a deep-dive into your existing operations. We map your workflows, identify automation opportunities, and define success metrics — before writing a single line of configuration.
We document your end-to-end processes — every step, every decision point, every handoff — to understand exactly where AI teammates add the most value.
We catalog every system your team touches — CRM, ERP, claims platforms, EHR, MES — and plan native integrations for seamless data flow.
We define measurable KPIs together — cycle time, cost per transaction, accuracy rate, throughput — so you can benchmark ROI from day one.
Your AI teammate is configured with your specific rules, trained on your domain terminology, and connected to your existing platforms — no rip-and-replace required.
Each AI teammate is pre-trained on your industry's workflows, compliance requirements, and domain terminology — not generic language model outputs.
Out-of-the-box integrations with Guidewire, Epic, SAP, Salesforce, Oracle, and 100+ enterprise platforms. Your AI teammate reads from and writes to your existing systems.
Configure routing logic, classification rules, approval thresholds, and escalation paths — matching your exact operational requirements and compliance policies.
Role-based access, audit logging, data residency policies, and encryption are configured before the first task runs — compliance is built in, not bolted on.
Multi-step workflows are configured with conditional branching, parallel processing, and exception handling — mirroring how your best operators make decisions.
Structured and unstructured data pipelines are configured for document ingestion, email parsing, form extraction, and real-time data feeds from connected systems.
Your AI teammate goes live on a scoped workload — with human-in-the-loop validation on every decision. We benchmark KPIs, iterate on rules, and prove ROI before scaling.
Start with a single workflow, line of business, or department. Your AI teammate handles real work on a controlled subset — minimizing risk while maximizing learning.
Every AI decision is reviewed by your team during the pilot phase. Corrections are fed back into the system, improving accuracy with every iteration.
We measure cycle time, accuracy, cost per transaction, and throughput against your baseline — providing a clear, data-driven ROI case for expansion.
Once the pilot proves ROI, expand your AI teammate across additional workflows, departments, and business units — with continuous learning and optimization.
Extend your AI teammate to additional process types, lines of business, and departments — each configured with its own rules and integration points.
Every correction, exception, and feedback loop makes your AI teammate smarter. Performance improves continuously from real operational data — not just at deployment.
Regular performance reviews benchmark AI teammate impact against KPIs, identify new automation opportunities, and optimize existing workflows for maximum efficiency.
A structured, phased deployment that delivers measurable results from the first sprint. No multi-year transformation required.
Your AI teammate integrates with 100+ enterprise platforms across every industry — no rip-and-replace required.
Guidewire ClaimCenter, Duck Creek, Majesco, and custom policy admin systems for insurance operations.
Epic, Cerner, Athenahealth, and HL7/FHIR APIs for healthcare workflows and clinical documentation.
FIS, Fiserv, Jack Henry, Salesforce Financial Cloud, and compliance platforms for financial services.
SAP, Oracle, Siemens Opcenter, Rockwell FactoryTalk, and OPC-UA for manufacturing operations.
Salesforce, HubSpot, Twilio, SendGrid, and unified communications platforms for omnichannel engagement.
RESTful APIs, configurable webhooks, RPA bridges, and EDI networks for any system not covered out of the box.
Every decision is auditable. Every action is governed. Built from the ground up for the most demanding compliance requirements.
Every high-stakes decision routes to a human reviewer. AI handles volume — your domain experts retain authority over critical judgments and exceptions.
Full decision audit trails, role-based access control, and compliance logging designed for DOI, SEC, OSHA, FDA, and industry-specific regulatory examinations.
AES-256 encryption at rest and in transit, configurable data residency controls, and retention policies for every jurisdiction and industry.
Real-time performance monitoring, anomaly detection, and automated alerts ensure your AI teammate operates within defined parameters at all times.
Launch a 30-day pilot with measurable KPIs — reduced cycle times, lower costs, and higher accuracy — within your first month. No multi-year commitment. No rip-and-replace. Just results.