Real Engagements

Case Studies: OpenClaw & NemoClaw in Production

Detailed write-ups of how our consultants have deployed, secured, and scaled OpenClaw and NemoClaw for enterprise clients — including the problems we faced, the approaches we took, and the measurable outcomes delivered.

🏥 Healthcare
OpenClaw Deployment HIPAA Compliance Completed Q4 2025 — 9-week engagement

HIPAA-Compliant OpenClaw Deployment for a Regional Hospital Network

A 14-hospital network in the Southeast needed to automate administrative workflows — scheduling, prior authorization, and EHR data entry — without violating HIPAA technical safeguards. Standard OpenClaw installations failed four compliance controls out of the box.

73% reduction in prior auth processing time
4 HIPAA controls hardened from non-compliant to audit-ready
$2.1M projected annual labor savings across 14 facilities

The Problem

The network's IT security team had flagged three blockers before they'd allow OpenClaw anywhere near patient data:

  • OpenClaw's default Skills marketplace was reachable from agent processes with access to ePHI datastores
  • No audit logging of agent actions at the session level — required under HIPAA § 164.312(b)
  • OpenClaw's local model cache stored inference outputs in plaintext, violating the organization's at-rest encryption policy
  • Insufficient access controls: any OpenClaw user could install Skills without approval gating

Our Approach

We scoped a 9-week engagement in three phases:

  • Weeks 1–2: threat model of the planned deployment; mapping each data flow against HIPAA technical safeguards
  • Weeks 3–5: hardened deployment — network segmentation, Skills allowlist enforcement via OpenClaw policy config, AES-256 encryption for the inference cache
  • Weeks 6–7: custom audit logging sidecar feeding SIEM (Splunk); session-level action capture with 90-day retention
  • Weeks 8–9: staff training, runbook documentation, and tabletop exercise with the IT security team

The Outcome

The deployment went live in production across 3 pilot facilities in week 9. The compliance review that had previously blocked procurement was completed in a single 4-hour session — all four flagged controls were satisfied.

  • Prior authorization workflows reduced from ~47 minutes to ~13 minutes per case
  • Zero PHI-touching Skills from the public marketplace; all 11 approved Skills are internally maintained
  • Full rollout to all 14 facilities is scheduled for Q1 2026
  • Client passed their annual HIPAA technical safeguards audit with no findings in the OpenClaw scope
“
We had written off OpenClaw internally because of the compliance blockers. ClawConsult came in, mapped every gap in two weeks, and had us audit-ready in under two months. The ROI was clear before the engagement even ended.
— VP of Clinical Informatics, Regional Hospital Network (name withheld per NDA)
📈 Financial Services
NemoClaw Migration Enterprise Completed Q1 2026 — 12-week engagement

OpenClaw to NemoClaw Migration for a Mid-Market Investment Management Firm

A 320-person investment management firm had been running OpenClaw for internal research automation for 8 months. As their needs scaled — and after a near-miss prompt injection incident — they decided to migrate to NemoClaw for its enterprise policy controls, audit infrastructure, and on-premises model routing. The migration needed to complete before their Q1 SOC 2 Type II audit window.

100% of 23 OpenClaw workflows migrated with zero downtime
SOC 2 Type II audit passed — NemoClaw scope included
0 prompt injection incidents post-migration (vs. 1 near-miss pre)

The Problem

The firm's existing OpenClaw setup had grown organically — 23 separate workflows built by different teams, inconsistent authentication, and no central policy enforcement. Their security team had flagged a prompt injection attempt in a research summarization workflow that could have exfiltrated client portfolio data. Two additional concerns drove the migration decision:

  • OpenClaw's Skills marketplace didn't support the granular permissions model required for their compliance posture
  • All inference was routed through cloud APIs — unacceptable for workflows touching MNPI (material non-public information)
  • No centralized audit trail suitable for SOC 2 Type II evidence collection

Our Approach

We assigned a lead architect and a NemoClaw policy specialist. The engagement ran in parallel tracks:

  • Workflow inventory and risk-tiering: each of 23 workflows classified by data sensitivity and migration complexity
  • NemoClaw on-prem deployment on their existing DGX cluster — Nemotron-4 70B for high-sensitivity workflows, routing rules for lower-tier tasks
  • Policy-as-code framework: declarative YAML policies preventing cross-workflow data access and enforcing output filtering
  • Parallel migration with shadow mode — new NemoClaw stack ran alongside OpenClaw for 3 weeks to validate output parity
  • SOC 2 evidence package: 90 days of audit logs, policy change history, and incident response runbooks

The Outcome

All 23 workflows were cut over to NemoClaw in week 10. The 2-week buffer before the audit window was used to complete staff training and review the evidence package with the firm's auditors.

  • SOC 2 Type II audit passed with no exceptions in the AI/automation scope
  • MNPI-touching workflows now run fully on-premises with zero external model calls
  • Prompt injection surface reduced significantly: NemoClaw's output filtering caught 4 test injection attempts during QA that OpenClaw had passed
  • Firm is now on a monthly retainer for ongoing NemoClaw advisory and patch monitoring
“
The shadow-mode migration approach gave our engineering team confidence we weren't going to break anything in production. ClawConsult had clearly done this before. We hit our audit deadline with two weeks to spare.
— Director of Technology Risk, Investment Management Firm (name withheld per NDA)
🏛️ Federal Government
NemoClaw Deployment Air-Gap Completed Q4 2025 — 16-week engagement

Air-Gapped NemoClaw Deployment for a Federal Civilian Agency

A federal civilian agency needed to deploy AI agent automation for document processing and regulatory analysis workflows — on a network with no internet access and strict FedRAMP Moderate control requirements. No off-the-shelf NemoClaw deployment guide existed for fully air-gapped environments at the time of the engagement.

16 wks from kickoff to ATO recommendation letter
85% reduction in document review cycle time
FedRAMP Moderate controls satisfied across all 23 applicable requirements

The Problem

The agency's document processing backlog had grown to over 40,000 items. Staff were spending 60% of working hours on manual extraction and categorization tasks. The agency wanted AI automation but faced constraints that ruled out every off-the-shelf option:

  • Fully air-gapped network — no cloud APIs, no external model calls, no internet access for the deployment hosts
  • FedRAMP Moderate baseline: 325 applicable controls across the NIST 800-53 control families
  • FIPS 140-2 validated cryptographic modules required for all data-at-rest and in-transit encryption
  • All model weights, dependencies, and update packages had to pass through a formal change control process before entering the classified enclave

Our Approach

This was our most complex engagement to date. We assigned a 3-person team: an air-gap specialist, a FedRAMP compliance engineer, and a NemoClaw architect.

  • Weeks 1–3: environment assessment, FedRAMP control gap analysis, and ATO documentation planning
  • Weeks 4–7: offline package build — all NemoClaw dependencies, model weights (Nemotron-4 15B quantized), and runtime components packaged for air-gap transfer
  • Weeks 8–11: deployment and hardening — FIPS-compliant crypto, immutable audit logging, network segmentation, and NemoClaw policy config for the document processing use cases
  • Weeks 12–14: integration with the agency's existing document management system via an on-prem API bridge
  • Weeks 15–16: security assessment support, pen test remediation, and ATO documentation package delivery

The Outcome

The agency received their ATO recommendation letter 3 days after the engagement formally closed. The document processing pilot went live with 8 workflow types covering approximately 60% of the backlog volume.

  • Document review cycle time dropped from an average of 4.2 days to 14 hours for the pilot workflow categories
  • All 23 applicable FedRAMP Moderate requirements satisfied with supporting evidence
  • The offline package build process we developed became the basis for NemoClaw's official air-gap deployment guide (published in NemoClaw 2.1 docs)
  • Follow-on engagement scoped to expand to 5 additional workflow categories and a second agency enclave
“
No other vendor we spoke to had actually done a fully air-gapped NemoClaw deployment. ClawConsult had done the work to figure out what didn't exist yet. The ATO package they delivered was the most thorough we've received from any technology vendor.
— Senior IT Security Officer, Federal Civilian Agency (identity withheld per government policy)
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