Anthropic Select partner · October 20, 2026

Ippon Technologies USA is now an Anthropic Select partner. Claude for the enterprise. Examiner-ready for regulated industries.

Ippon Technologies USA helps your teams adopt Claude, Cowork and Claude Code, then runs them where your data already lives: standalone, on AWS or on Snowflake, with the controls regulated industries need.

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Verified credentials

Anthropic Select partnerClaude Partner Network

AWS Partner Financial Services Competency badgeAWS PartnerClaude on AWS

Snowflake partnerClaude on Snowflake

25+ certified Claude architectsAnthropic Claude certifications

View our Anthropic Partner Directory listing

The partnership

What working with an Anthropic Select partner means for you

Anthropic Select is a tier of Anthropic’s Claude Partner Network. For your team, it means Ippon Technologies USA brings certified Claude architects and Anthropic partner enablement to every engagement. Visit the directory listing

Certified Claude architects on your team

Ippon has 25+ certified Claude architects. Every APT Deployment Sprint is staffed from that bench.

See who staffs each step

Earlier access to what’s next in Claude

Partner enablement gives our engineers early access to Claude model updates, so your architecture is planned against the model roadmap, not only today’s release.

See the production architecture

Status you can verify, prices you can budget

Our listing is public in the Anthropic Partner Directory. Our four offers carry published prices, so procurement can approve scope before the first call.

Check the directory listing

Claude for the enterprise

Claude, Cowork and Claude Code, rolled out across your teams

Ippon Technologies USA rolls out Claude for everyday knowledge work, Cowork for multi-step tasks on the desktop and Claude Code for engineering teams, then connects all three to your data, tools and controls.

Claude

Chat, projects and connectors for every team, with SSO, admin controls, usage policy and adoption measurement.

Cowork

Claude works through multi-step tasks across your files, documents and apps, on managed devices with an approved tool list.

Claude Code

Secure setup for engineering teams: repository standards, review hooks, approved tools and measured delivery gains.

Agents on your data

Claude agents that call your tools through MCP, connected to Snowflake, Salesforce and HubSpot, with evaluations and clear ownership.

Three ways to run it

Pick the deployment that matches your controls. Regulated teams usually combine AWS and Snowflake.

Fastest start

Standalone Claude

Claude, Cowork and Claude Code from Anthropic, with enterprise SSO, admin and data controls. New features arrive here first.

Best forTeams that want to move now and do not need cloud-account controls.
Regulated default

Claude on AWS

Claude runs in your AWS account and region, with private networking, your encryption keys, AWS audit logging and AWS compliance coverage, including HIPAA eligibility.

Best forBanks, healthcare and any workload your security team keeps inside AWS.
Next to your data

Claude on Snowflake

Claude runs inside Snowflake Cortex AI, next to governed data. Horizon policies, masking and lineage apply, and agents reach data through the Snowflake-managed MCP server.

Best forAnalytics, reporting and data agents on data already in Snowflake.

See how they fit together in production

Regulated industries · Banking and financial services

Examiner-ready Claude for banks

Banks deploying Claude must show examiners how each model and agent is inventoried, validated and monitored; Ippon Technologies USA runs Claude on AWS and Snowflake and delivers that evidence through the Claude Model Risk Pack, included in every 9-Week APT Deployment Sprint.

Federal Reserve · OCC · FDIC

SR 26-2

Revised interagency guidance on model risk management, issued April 17, 2026. It replaced SR 11-7 and SR 21-8 and takes a risk-based approach tailored to each bank's model risk profile.

U.S. Treasury · FSSCC (AIEOG)

Treasury FS AI RMF

The Financial Services AI Risk Management Framework: 230 control objectives organized by AI adoption stage. It applies the NIST AI RMF to banks and other financial institutions.

NIST · AI 100-1

NIST AI RMF

The cross-industry AI Risk Management Framework, built on four functions: Govern, Map, Measure and Manage. It anchors the control language your risk team already uses.

The Claude Model Risk Pack

Six artifacts, produced during the sprint and ready for your second line of defense. Each one answers a question examiners ask and maps to SR 26-2, the Treasury FS AI RMF and the NIST AI RMF. Your model risk team reviews evidence, not slideware.

#ArtifactExaminer question it answersNIST AI RMF
1Model cardPurpose, intended use, limits and the Claude model version in production.What is this model for, and where should it not be used?Map
2Agent inventory entryRisk tier, owner, dependencies and tools the agent can call.Is it in the model inventory, risk-tiered and owned?Govern
3Evaluation suiteAccuracy, robustness and policy tests that run in CI and on every model update.How was it validated, and how is performance tracked?Measure
4Failure-mode analysisHow the agent can fail (wrong answers, prompt injection, tool misuse, data drift), how each failure is detected and the fallback that applies.What happens when it gets it wrong, and how would you know?MapManage
5Human-in-the-loop designWhere people approve, override or escalate, written as controls.Which controls limit its use and allow challenge?Manage
6Audit-trail specificationWhat is logged, where, for how long and who can read it.Can every output be traced and reviewed after the fact?MeasureManage

Each artifact is cross-referenced to the relevant SR 26-2 expectations and Treasury FS AI RMF control objectives in the delivered pack.

Banking use cases we deploy

Each runs as a 9-Week APT Deployment Sprint on one process, with the Model Risk Pack attached.

Operations · Compliance

Agentic SCRA fulfillment

Claude agents verify servicemember status, apply Servicemembers Civil Relief Act benefits and draft customer notices, with every decision logged for review.

Commercial lending

Covenant monitoring

Claude reads borrower financials against loan agreements, tests covenants and routes potential breaches to relationship managers.

Credit

Agentic underwriting

Claude assembles the credit memo from spreads, bureau data and credit policy, so underwriters review and decide instead of compiling.

For LOB, Product and Operations leaders

A priced path to one process in production

  • Budget the full path up front: $35K, $125K, $35K.
  • Business Value Assessment tied to your operating metrics.
  • Model risk evidence built in, so approval does not stall the launch.
  • One accountable partner from first call to go-live.
For Enterprise Architecture, CISO and AI Engineering

Controls your security review already expects

  • Claude in your AWS account and region, over private networking, under your IAM.
  • AWS guardrails for content policy, PII redaction and topic denial.
  • Governed data in Snowflake: Horizon policies, masking and lineage on every Claude query.
  • AWS CloudTrail logging of every call, forwarded to your SIEM.
  • Evaluation suite in CI with drift alerts on model updates.

Healthcare

HIPAA-aligned Claude for healthcare

Claude can process protected health information when it runs on a HIPAA-eligible service under a Business Associate Addendum; Ippon Technologies USA runs PHI workloads with Claude on AWS, with PHI controls and audit trails configured from the start.

PHI handling

Minimum-necessary data flows, PHI filters in AWS guardrails and encryption with your AWS KMS keys. PHI stays inside your AWS account.

BAA path via AWS

Your AWS Business Associate Addendum covers the HIPAA-eligible AWS service that runs Claude. We confirm coverage and account designation during the Assessment.

Audit trails

AWS CloudTrail and model invocation logs record who asked what, when, and what Claude returned, retained under your policy.

Where healthcare teams start

  • Prior authorization packetsClaude gathers clinical evidence from the record and drafts the submission for staff review.
  • Care management summariesClaude condenses visit notes and history into a one-page brief before outreach calls.
  • Member and patient serviceAn agent answers benefits and claim-status questions and hands off to staff with full context.

Discuss a healthcare use case

Capital markets, insurance and more

Claude for capital markets, insurance and other regulated industries

Ippon Technologies USA brings the same approach to capital markets, insurance and other regulated industries: Claude on AWS and Snowflake, with the Claude Model Risk Pack mapped to each sector’s governing framework.

Capital markets and wealth

Research and filing summaries, advisor meeting preparation, marketing compliance review and surveillance support.

Governing frameworkFINRA Regulatory Notice 24-09 on generative AI, SEC recordkeeping and Marketing Rule

Insurance

Claims triage, underwriting submission intake and policy wording comparison.

Governing frameworkNAIC Model Bulletin: Use of Artificial Intelligence Systems by Insurers, as adopted by your states

Public sector

Find the policy, then explain what it means for the case. Claude searches rules, guidance, and prior decisions, then returns the relevant passages in context with citations, so teams answer faster and can check the source.

  • Policy search across statutes, regulations, and internal manuals
  • Case-level summaries with cited passages
  • Version comparison: what changed and what it affects
Governing frameworkNIST AI Risk Management Framework (AI RMF 1.0, Generative AI Profile NIST AI 600-1)
Offers and pricing

Four steps from first call to Claude in production

Ippon Technologies USA sells Claude deployment as four fixed-price steps: a free 30-Minute Discovery Call, a $35K 4-Week Claude Readiness Assessment, a $125K 9-Week APT Deployment Sprint and a $35K 3-Week Production Hardening.

  1. 1Start

    30-Minute Discovery Call

    Free30 minutes

    ForLOB, Product and Operations leaders, CISOs and architects with a candidate Claude use case.

    • Use-case fit and value check
    • Regulatory constraints named (SR 26-2, HIPAA, others)
    • Recommended next step and funding path
    Book a 30-min discovery call
  2. 2Assess

    4-Week Claude Readiness Assessment

    $35K4 weeks

    ForTeams with two or more candidate use cases and no approved Claude architecture yet.

    • Use-case portfolio scored for value and risk
    • Data, AWS and Snowflake readiness review
    • Target architecture: standalone, AWS or Snowflake
    • Governance gap analysis against SR 26-2 and the NIST AI RMF
    • Roadmap and APT business case
    Ask about the Assessment
  3. 3Build

    9-Week APT Deployment Sprint

    $125K9 weeks

    ForOne high-value process ready for an Agentic Process Transformation (APT), with an executive sponsor.

    Claude Model Risk Pack included
    • Business Value Assessment for the process
    • Working Claude agent in your environment
    • Guardrails, PII redaction and audit logging
    • Readout for your model risk committee
    Scope a sprint
  4. 4Run

    3-Week Production Hardening

    $35K3 weeks

    ForSprint output approved by model risk and ready for production users.

    • Load, failure and red-team testing
    • Monitoring, eval drift alerts and SIEM integration
    • Runbooks and incident response
    • Go-live sign-off pack and handover
    Plan production
Full path: 16 weeks and $195K from assessment to production. See where the path lands
Where the path lands · Claude in production

Claude in production, layer by layer

At the end of the path, your people and your agents share one governed stack built by Ippon Technologies USA: Cowork and Claude Code on managed devices, agents in your AWS account, governed data in Snowflake, and logs, keys and spend that stay yours.

Claude in production, layer by layerSix layers. Workforce lane: knowledge workers on Claude Cowork and engineers on Claude Code, on managed devices inside your endpoints with SSO, MDM, MCP allowlist and egress rules; the agent runs on the device. Application lane: your apps call agents that run in your VPC on the Agent SDK, AgentCore and ECS with least-privilege IAM roles. Both lanes share one agent core: Claude model, context (system prompt, Skills, memory), tools via MCP, a plan-act-observe loop, subagents and human approval before writes. Both call Claude on Amazon Bedrock in your AWS account and region, the workforce lane over the Bedrock API with IAM, agents over PrivateLink, with Guardrails, Knowledge Bases and KMS keys. Both reach governed data through MCP with OAuth: the Snowflake-managed MCP server, Cortex Agents, Cortex AI and Horizon governance in your Snowflake account, and Salesforce or HubSpot, where writes wait for human approval. CloudTrail, OpenTelemetry, Snowflake usage views, spend and evals land in customer-owned tools. LAYER WORKFORCE LANE Claude Code & Cowork APPLICATION LANE custom agents, your VPC YOUR ENDPOINTS YOUR AWS ACCOUNT & REGION YOUR SNOWFLAKE ACCOUNT SYSTEMS OF RECORD 01 WHO USES CLAUDE people and apps 02 IDENTITY & ACCESS who can do what 03 AGENT LAYER same core, both lanes 04 INFERENCE Claude in your AWS 05 GOVERNED DATA Snowflake + your CRM 06 EVIDENCE customer-owned Knowledge workers Claude Cowork Engineers Claude Code · CLI · IDE Your apps & workflows CRM · portals · back-office jobs HTTPS · SSO Signed-in, managed devices SSO · MDM · MCP allowlist · egress rules Agents get least privilege SSO → IAM roles · AgentCore Identity Agent runs on the device Claude Code & Cowork · local sessions Model Claude via your Bedrock account Context system prompt · Skills · memory Tools MCP servers from your allowlist Loop plan → act → observe Subagents parallel workers, own context Approvals permission prompt before writes Agents run in your VPC Agent SDK · AgentCore Runtime · ECS Model Claude on Bedrock via PrivateLink Context prompt · Skills · AgentCore Memory Tools MCP via AgentCore Gateway Loop plan → act → observe Subagents parallel workers, own context Approvals human sign-off on write actions Bedrock API · IAM PrivateLink Claude stays in your cloud Amazon Bedrock · Claude Opus · Sonnet · Haiku Private path PrivateLink interface endpoint PII screened Guardrails · PII · content filters Grounded answers Knowledge Bases · RAG on your docs Your keys customer-managed KMS MCP · OAuth · per-tool grants OTel CloudTrail · logs usage views One governed door Snowflake-managed MCP server Plain-English questions Cortex Agents · Analyst · Search Claude inside Snowflake Cortex AI · AI_COMPLETE Rules travel with data Horizon · RBAC · masking · lineage CRM stays the source Salesforce · HubSpot · MCP Writes need your OK approval on every write You own the evidence logs · traces · spend · evals all in your tools Every call on record CloudTrail · invocation logs → CloudWatch / S3 Traces in your SIEM OpenTelemetry → your collector / SIEM Spend you can see Bedrock tokens · Snowflake AI credits Quality you can prove evals · regression tests on every change Claude in production, layer by layer (mobile)Stacked version of the six-layer architecture: endpoints and apps, identity and access, the shared agent core, Claude on Amazon Bedrock in your AWS account, governed data in Snowflake and your CRM via MCP, and customer-owned evidence. 01 WHO USES CLAUDE YOUR ENDPOINTS Knowledge workers Claude Cowork Engineers Claude Code · CLI · IDE APPLICATION LANE Your apps & workflows CRM · portals · back-office jobs 02 IDENTITY & ACCESS YOUR ENDPOINTS Signed-in, managed devices SSO · MDM · MCP allowlist · egress rules YOUR AWS ACCOUNT Agents get least privilege SSO → IAM roles · AgentCore Identity 03 AGENT LAYER YOUR ENDPOINTS Agent runs on the device Claude Code & Cowork · local sessions YOUR AWS ACCOUNT Agents run in your VPC Agent SDK · AgentCore Runtime · ECS Same core in both lanes Model Claude on your Bedrock Context prompt · Skills · memory Tools MCP servers, allowlisted Loop plan → act → observe Subagents parallel workers Approvals human OK before writes Bedrock API · PrivateLink 04 INFERENCE YOUR AWS ACCOUNT & REGION Claude stays in your cloud Amazon Bedrock · Opus · Sonnet · Haiku Private PrivateLink endpoint PII Guardrails · content Grounded Knowledge Bases · RAG Keys KMS, customer-managed MCP · OAuth · per-tool grants 05 GOVERNED DATA YOUR SNOWFLAKE ACCOUNT One governed door Snowflake-managed MCP server Plain-English questions Cortex Agents · Analyst · Search Claude inside Snowflake Cortex AI · AI_COMPLETE Rules travel with data Horizon · RBAC · masking · lineage SYSTEMS OF RECORD CRM stays the source Salesforce · HubSpot · MCP Writes need your OK approval on every write logs · traces · spend 06 EVIDENCE You own the evidence customer-owned, in your tools Calls CloudTrail · invocation logs Traces OpenTelemetry → SIEM Spend tokens · AI credits Quality evals · regression tests
  1. One corporate IdP signs in people and agents; roles map to IAM and Snowflake.
  2. Desktops call Bedrock directly or through your Claude apps gateway.
  3. VPC agents reach Bedrock over PrivateLink, never the public internet.
  4. Both lanes reach data through MCP, scoped by OAuth and per-tool grants.
  5. Writes to Salesforce or HubSpot wait for a human approval.
  6. Logs, traces, spend and eval results land in your own tools.
  • Request or data path, labeled with protocol
  • Logs, traces and spend
  • Customer-owned boundary
  • Your SaaS systems of record
Proof

Results from programs we have shipped

Ippon Technologies USA reports one verified figure per result, matched to its published case study.

50%faster turnaround on SCRA benefits fulfillment at a top-10 US bank.
3×faster report conversion, from about 5 hours to 1.5 hours per report, for a global alternative asset manager moving from MicroStrategy to Snowflake and Power BI.
98%QA accuracy from AI-automated, cell-by-cell validation across 2.5 GB+ of data in the same migration.
Regional bank · Agentic AI

Agentic AI without the audit risk

Claude on Amazon Bedrock runs inside the bank's AWS account, with Guardrails, Knowledge Bases and CloudTrail logging, framed for SR 26-2.

BeforeSlow loan intake-to-decision and credit memo cycles
ControlEvery agent action logged: input, model version, output, confidence, escalation path
AfterProduction in progress based on a Dojo Bank POC at a Regional Bank
Read the story
Auto finance · AI governance

AI governance on AWS without slowing innovation

A leading auto finance company in regulated consumer lending moved to self-service AI governance on Amazon Bedrock and AgentCore, with certified templates mapped to its regulations.

BeforeA six-week negotiation for every new AI use case
ControlCertified templates and a shared Terraform guardrail module; every workload emits the same audit trail
AfterA checklist
Read the story
Asset manager · Data migration

AI-accelerated Snowflake and Power BI migration

A global alternative asset manager with about $1T AUM moved from MicroStrategy to Snowflake and Power BI ahead of its deadline.

BeforeAbout 4,000 MicroStrategy assets
ControlAI-led discovery, SQL translation and cell-by-cell QA
After840 business-critical assets (79% rationalized) and $12K a month in licensing savings
Read the story

FAQ

Questions buyers ask about Claude deployment

Short, direct answers on Anthropic Select partner status, Claude pricing, HIPAA, SR 26-2 governance and running Claude on AWS and Snowflake, from Ippon Technologies USA.

What is an Anthropic Select partner?

An Anthropic Select partner is a consulting firm admitted to the Select tier of Anthropic’s Claude Partner Network to deliver Claude deployments with certified practitioners. Ippon Technologies USA became an Anthropic Select partner in October 2026 and is listed in the Anthropic Partner Directory, where buyers can verify its status and services.

Can Ippon help us roll out Claude, Cowork and Claude Code?

Yes. Ippon Technologies USA rolls out Claude for knowledge work, Cowork for multi-step desktop tasks and Claude Code for engineering teams, then connects agents to Snowflake, Salesforce and HubSpot data. Every engagement starts with the free 30-Minute Discovery Call, which scopes the rollout, the governance level and how success is measured.

Ippon Technologies USA publishes fixed prices. The 30-Minute Discovery Call is free. The 4-Week Claude Readiness Assessment costs $35K, the 9-Week APT Deployment Sprint costs $125K and the 3-Week Production Hardening costs $35K. The full path from assessment to production totals $195K over 16 weeks.

With Ippon Technologies USA, a first Claude use case reaches production in 12 weeks once scoped: a 9-Week APT Deployment Sprint builds and validates the agent, then a 3-Week Production Hardening adds monitoring, runbooks and go-live sign-off. Teams starting from scratch add the 4-Week Claude Readiness Assessment, for 16 weeks total.

Use standalone Claude when teams want the newest Claude, Cowork and Claude Code features with Anthropic’s enterprise controls. Use Claude on AWS, delivered through Amazon Bedrock, when workloads must stay in your AWS account with AWS compliance coverage. Use Claude on Snowflake when answers come from governed Snowflake data. Regulated clients usually combine AWS and Snowflake.

No AI model is HIPAA compliant on its own; compliance depends on the deployment. Claude on AWS runs on a HIPAA-eligible AWS service, so organizations with an AWS Business Associate Addendum can process PHI with Claude in their own AWS account. Ippon Technologies USA configures the access controls, PHI filters and audit logging.

Banks govern Claude under SR 26-2 by treating each Claude model and agent as an inventoried, risk-tiered model with documented validation, ongoing monitoring and a named owner. SR 26-2 replaced SR 11-7 on April 17, 2026. Ippon’s Claude Model Risk Pack produces the inventory entry, evaluation suite and audit trail examiners review.

The Claude Model Risk Pack is the governance evidence Ippon Technologies USA delivers in every 9-Week APT Deployment Sprint: a model card, an agent inventory entry, an evaluation suite, a failure-mode analysis, a human-in-the-loop design and an audit-trail specification. Each artifact maps to SR 26-2, the Treasury FS AI RMF and the NIST AI RMF.

No. When Claude runs on AWS, inference runs on AWS-operated infrastructure in your chosen region, AWS is the sole data processor, and prompts are not used to train models. Ippon Technologies USA connects your applications over private networking, logs every call with AWS CloudTrail and applies guardrails before responses reach users.

Ippon Technologies USA confirms eligibility during the free 30-Minute Discovery Call, before any statement of work is signed. Eligibility depends on current AWS program terms and your account, so the published $35K price for the 4-Week Claude Readiness Assessment is shown before any funding.

Next step

Book a 30-minute discovery call

In 30 minutes, an Ippon Technologies USA Claude lead checks your use case for fit, names the regulatory constraints and recommends the next step, at no cost.

  • A Claude practitioner on the call, not only sales
  • A recommended next step and funding path
  • No obligation to buy the Assessment

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