Frequently Asked Questions

Fortiv Solutions is an enterprise AI transformation partner. We do not sell generic dashboards or shallow ChatGPT wrappers. We design, build, deploy, and continuously operate production-grade AI systems, autonomous workflow agents, and decision engines that take over mission-critical operating work for mid-market and enterprise organizations. Once deployed, we maintain and monitor the systems under a 99.9% uptime SLA so you scale operational capacity without bloating headcount.

SaaS vendors sell software licenses and leave the hard work of prompt engineering, model tuning, workflow mapping, system integration, error handling, and maintenance to your internal team. Generic AI tools give your team an empty text box. Fortiv Solutions delivers finished, measurable business outcomes. We engineer tailored multi-agent pipelines wired directly into your existing enterprise software (SAP, Salesforce, ERPs, databases), handle all exceptions, and manage the system in production so it continues to perform accurately month after month.

We have delivered over 40 enterprise and mid-market AI deployments across 17 industry sectors including manufacturing, healthcare, logistics, financial services, retail, and real estate. Our production systems maintain a 99.9% uptime SLA, have reduced back-office cycle times by over 60%, and deliver an average verifiable ROI of 3x to 8x within the first 6 months of deployment.

High-volume, repetitive, document-heavy, or cross-system workflows deliver the fastest ROI. Typical examples include: 3-way invoice matching and AP ledger posting; bill of lading and customs clearance extraction; multi-channel customer inquiry resolution and CRM sync; clinical record summarization and insurance pre-authorization; RFP and tender response drafting; and supply chain demand anomaly detection.

We implement deterministic multi-agent architectures with strict guardrails: schema-constrained JSON outputs, verifiable retrieval-augmented generation (RAG) with source attribution, automated cross-validation loops between specialized sub-agents, and confidence-score thresholds. If any extraction or decision falls below the required confidence score, the system automatically routes the item to a human-in-the-loop review interface.

Human oversight is built into every deployment. Critical financial, clinical, or contractual actions operate under configurable approval policies. Routine 95%+ high-confidence transactions flow through autonomously, while edge cases, low-confidence extractions, and high-value exceptions are surfaced to designated team members with clear audit trails and one-click approvals.

No. Fortiv Solutions builds on top of and alongside your existing investments. We connect directly via REST/GraphQL APIs, webhooks, secure database connectors, message queues, and robotic middleware into systems like SAP ERP, Salesforce, HubSpot, Microsoft 365, TallyPrime, WhatsApp Business API, Zendesk, and proprietary SQL/NoSQL databases. Your teams continue working within the interfaces they already know.

Yes. A significant portion of our deployments involve connecting legacy on-premise systems, AS400/mainframe data exports, local SQL servers, and internal document stores using secure VPN tunnels, reverse-proxy bastions, or lightweight local gateway agents that require zero public internet exposure.

We maintain a model-agnostic, best-of-breed architecture. We utilize frontier models (Anthropic Claude 3.5 Sonnet, OpenAI GPT-4o, Google Gemini 1.5 Pro) for complex reasoning and synthesis, combined with open-source domain-tuned models (Llama 3, Mistral Large, Qwen) for cost-efficient local execution, vector databases (Pinecone, Qdrant, pgvector), and hybrid RAG search algorithms.

Never. We maintain a zero-data-retention and zero-training policy. All commercial API contracts utilize enterprise zero-data-retention agreements where client data is never stored, retained, or used for model training. For clients with sovereign or strict IP constraints, we deploy open-source models inside your own private cloud or on-premise infrastructure.

Yes. We support three deployment topologies: Fortiv Managed Dedicated Cloud (isolated tenant, SOC 2 Type II compliant), Customer VPC (deployed directly into your AWS, Azure, or GCP environment via Terraform), and Air-gapped On-Premises (for defense, healthcare, or financial clients requiring local GPU infrastructure with zero outbound internet connectivity).

Our architectures are designed to comply with SOC 2 Type II, ISO 27001, HIPAA (with signed BAAs), GDPR, and India's Digital Personal Data Protection Act (DPDPA). We enforce AES-256 encryption at rest, TLS 1.3 in transit, role-based access control (RBAC), and immutable tamper-proof audit logs.

We follow a structured 4-phase delivery framework: (1) Technical Discovery & ROI Feasibility (Week 1–2): We map your target workflow, inspect sample data, define integration points, and agree on measurable success metrics; (2) Production Pilot Build (Week 3–5): We engineer the agent pipeline, integrations, and validation guardrails; (3) Validation & Pilot Launch (Week 6): Live testing alongside human operators to verify accuracy and SLA adherence; (4) Full Production & Managed Scale: Continuous monitoring, regression testing, and capability expansion.

Unlike traditional contractors who deliver code and disappear, Fortiv operates as an ongoing managed service. We monitor system latency, accuracy, API drifts, model token consumption, and edge cases 24/7. We perform ongoing model fine-tuning, prompt optimization, and quarterly architecture updates under a guaranteed SLA.

We price by scope and the economic value delivered—never by open-ended billable hours. Engagements typically feature an initial implementation sprint for architecture, integration, and pilot rollout, followed by a predictable monthly retainer covering infrastructure management, continuous model maintenance, proactive monitoring, and dedicated SLAs. We provide fixed-scope quotes following our discovery consultation.

Most clients achieve full payback within 3 to 6 months. For high-volume manual workflows (such as invoice processing, customer claims intake, or contract reviews), clients typically experience a 60% to 80% reduction in processing time and cost, near-zero error rates, and the ability to handle 3x to 5x higher transaction volume without adding headcount.