Capabilities • Explainable AI • Governance

What BIS Advisors Delivers.

AI architecture and implementation for insurance, healthcare/pharma, cybersecurity, risk, and other compliance-driven organizations. Our work spans explainable decision systems, enterprise AI and data architecture, AI governance, and grounded AI document intelligence — from architecture and assessment through POC, pilot, and production planning.

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Core Capabilities

Enterprise AI delivered with explainability and governance designed in from the start — not bolted on afterward.

Explainable AI & Decision Intelligence

Scoring, recommendation, and decision-support systems that preserve evidence, provenance, human review, and a clear explanation of how each result was produced.

Explainable AI solution →

Enterprise AI & Data Architecture

Data flows, identity patterns, integration architecture, governance controls, evaluation practices, and the deployment model required to move an AI initiative beyond a disconnected prototype.

Regulated AI Architecture Assessment →

AI Document Intelligence

Grounded systems that retrieve, compare, and interpret complex policies, controls, reports, and evidence — returning traceable answers with source citations.

Read the case study →

What We Do

AI Document Intelligence Systems

  • Grounded Q&A across long, dense PDFs
  • Clause extraction and policy comparison workflows
  • SOC 2 → NIST → ISO 27001 mapping support
  • Audit evidence lookup and context-aware summaries
  • Multi-document retrieval and source-attributed answers

RAG System Design & Evaluation

  • Chunking and overlap tuned to regulated documents
  • Embedding selection and benchmarking for recall
  • Evaluation sets, scoring rubrics, and quality measurement
  • vLLM configuration, caching, and latency tuning
  • Local-first with escalation to higher-end API models

Hybrid & On-Prem LLM Deployment

  • Deploy on RTX 4090, L4, A100, or H100 GPUs
  • Secure, self-hosted embedding and retrieval stack
  • Data residency and access-control-aware architecture
  • Cost models aligned to question volume and SLAs

Governance & Compliance for AI

  • Grounded-answer prompts and refusal behavior
  • Usage policies aligned with SOC 2, ISO 27001, SOX 404, PCI DSS
  • Audit logging, traceability, and evidence export
  • Risk classification and escalation rules for higher-stakes queries

How Engagements Work

Each engagement defines its scope, deliverables, decision points, and expected duration before work begins. Clients can start with one stage without committing to every later stage. Most BIS work moves through four stages, and fixed scope and pricing are confirmed after an initial qualification conversation.

Stage 1: Discovery & Assessment

Approximately 1–2 weeks.

A structured review of your business objectives, stakeholders, users and workflows, data sources, existing architecture, security and regulatory constraints, evaluation requirements, and deployment environment — ending with identified risks and gaps, a recommended architecture direction, and prioritized next steps. The Regulated AI Architecture Assessment is the fixed-scope version of this stage.

Stage 2: Proof of Concept or Pilot

Commonly 4–8 weeks, depending on scope and data readiness — some POCs and pilots fall outside this range.

A POC validates that a defined capability is technically feasible under documented conditions. A pilot validates the solution with representative users, data, or a limited operational workflow. Activities typically include defining success criteria, preparing representative data, building the scoped capability, evaluating quality and grounding, measuring latency and operational constraints, documenting limitations, gathering stakeholder feedback, and recommending next steps.

Stage 3: Production Planning & Adoption

Scope dependent.

Architecture hardening, security and governance controls, integration, access management, evaluation automation, monitoring, operational ownership and the support model, incident and escalation processes, documentation, training, adoption planning, and a production-readiness review. Production timing depends on data readiness, integration complexity, client controls, security reviews, procurement, infrastructure, user adoption, and operating-model maturity.

Stage 4: Fractional AI & Architecture Leadership

An ongoing monthly engagement.

Architecture direction, executive guidance, delivery oversight, vendor evaluation, governance support, roadmap management, technical decision facilitation, team coaching, and temporary senior architecture leadership. See Fractional CTO leadership.

Related: the AI Document Intelligence case study shows a typical Stage 2 outcome, and the Consulting Partners page explains how BIS supports other consulting firms inside their engagements.

Frequently Asked Questions

Short answers to the questions prospects ask most. For anything specific to your data and constraints, contact us directly.

How long does a POC or pilot take?

A proof of concept or pilot commonly runs 4–8 weeks, depending on scope and data readiness; tightly scoped pilots can run shorter. Success criteria, evaluation sets, and limitations are defined up front — see How Engagements Work.

Can it run entirely on-premises or on our own GPUs?

Yes. Architectures we design support cloud, hybrid, and fully self-hosted deployment — validated on GCP L4 and on-prem RTX 4090 GPUs — so sensitive documents and embeddings can stay inside your environment.

What happens when the answer isn’t in our documents?

The system is grounded by design: it answers only from retrieved document content and explicitly returns “Not present in the document.” when your material does not support an answer. No unsupported answers were observed in the evaluated test set under the documented strict-grounding configuration.

How do engagements start?

Typically with discovery and assessment — the fixed-scope Regulated AI Architecture Assessment is the primary option. An optional POC or pilot follows to validate feasibility or real-world fit, then production planning. Clients may begin with one stage; no stage commits you to the next.

How is sensitive document data handled?

Deployments are designed around data residency requirements, access controls, audit logging, and traceability, aligned to SOC 2, ISO 27001, SOX 404, and PCI DSS practices. On-prem and hybrid options keep documents and embeddings inside your networks.

Ready to Move Your AI Initiative Forward?

Whether you need an independent architecture review, a scoped POC, or ongoing leadership, the first conversation is free — and honest about whether BIS is the right fit.

Talk to BIS Advisors