Claude through Anthropic
Direct Claude application builds where the product layer includes prompts, tools, data access, evals, and release discipline.
Company / Partners / Anthropic
Member of the Anthropic Claude Partner NetworkClaude becomes enterprise value when the system around it is engineered well.
SquareShift helps clients put Claude and Claude Code inside products, workflows, engineering teams, and AI control layers with the data, eval, security, and operating discipline required for enterprise use.
Partner signalMember of the Anthropic Claude Partner Network
Partner signal
The membership matters when it helps teams build better Claude-enabled systems.
SquareShift is a member of the Anthropic Claude Partner Network. The buyer value is what we engineer around Claude: workflows, apps, agents, developer adoption, observability, and operating controls.
Capability-led partnership
Where Claude fits inside SquareShift's delivery model.
We help clients decide where Claude belongs, what needs to surround it, and how the first working system should ship.
Vanguard Teams
Claude-enabled builds led by senior builders.
A focused team turns a product idea, workflow, or internal platform need into a working build using AI-assisted delivery where it fits.
Explore ->Forward Deployed EngineersA builder embedded where the workflow lives.
We sit with the team that owns the work, map the process, write the integrations, and turn Claude-enabled patterns into usable software.
Explore ->AI EnablementAdoption structure before tool sprawl.
Use cases, access boundaries, prompt patterns, evals, rollout paths, and review discipline before Claude use spreads informally.
Explore ->Compass AIVisibility for AI-assisted engineering programs.
Compass AI helps leaders see AI tool usage, spend, security exposure, compliance signals, and engineering adoption patterns.
Explore ->Deployment patterns
Claude can enter the enterprise through different delivery paths.
The right path depends on the client's cloud posture, security requirements, account controls, data-handling policy, engineering workflow, and model-access choices.
Claude on Google Cloud
Google Cloud customers can evaluate Claude paths that fit account, access, region, logging, platform, and governance requirements.
Claude Code for engineering teams
Engineering teams rolling Claude Code into delivery need project setup, policy, review, measurement, and enablement.
Claude inside governed AI systems
Regulated or risk-sensitive teams need model usage behind access control, prompt governance, cost visibility, monitoring, and audit trails.
Use-case map
The useful question is where Claude should change the work.
Document-heavy workflow automation with review points, citations, and handoff states.
RAG assistants grounded in enterprise content, permissions, and answer-quality checks.
Agentic research, summarization, or recommendation flows embedded inside customer or employee apps.
Claude Code adoption patterns with senior review, secure repo practices, and productivity measurement.
Structured data plus documents plus human approval in one AI-assisted decision path.
AI cost, prompt, security, quality, and compliance observability across real application usage.
Control layer
Claude-enabled work needs governance before it spreads.
The operating model matters: access boundaries, prompt patterns, data grounding, evaluation, human review, cost visibility, and security controls.
Use-case selection and workflow redesignData access, grounding, and retrieval architecturePrompt, tool, and agent design patternsEvaluation, review, and human approval pathsClaude Code enablement for engineering teamsCost, security, compliance, and observability controls
Productized proof cues
When Claude spreads, visibility becomes part of the architecture.
SquareShift's observability products matter when Claude use moves from isolated experiments into engineering programs or production AI applications.
Compass AI
Control AI-assisted software engineering cost, security, compliance, and productivity signals.
Explore Compass AI ->Atlas AI
Observe AI-enabled applications: model/API spend, prompts, app types, RAG quality, security signals, and compliance controls.
Dedicated page pending; no link until builtBring us one workflow, product idea, or engineering bottleneck where Claude could matter.
We will help decide where Claude belongs, what should surround it, and what should be built first.