Skip to content
metabytes
ANTHROPIC CLAUDE

Claude for enterprise workflows.

Metabytes designs, integrates and evaluates Claude where it fits the workload. It is connected to company knowledge, approved tools and governance, inside an architecture that stays open to other models.

Start a Claude project
REASONINGAGENTSCODINGKNOWLEDGELONG CONTEXT
Where it fits

Where Claude fits best.

Claude is often a strong candidate when a workload needs deeper reasoning, long context or reliable tool use. For simpler, high-volume or tightly controlled deployments, another model may be a better fit.

CLAUDE FIT MAP
STRONG CANDIDATESCONSIDER ALTERNATIVES
STRONG CANDIDATE

Long document analysis

Worth evaluating early when the task depends on long context, comparison and synthesis.

WHY CLAUDE · WHAT THIS WORKLOAD NEEDS
Long contextLarge documents and multi-source tasks
ReasoningMulti-step interpretation and judgement
Tool useAPIs, systems and agent workflows
CodingPlanning, generation and review
Grounded knowledgeInternal context, retrieval and citations
GovernanceApprovals, permissions and audit
HOW WE DECIDEWorkload fit is confirmed against your real tasks, data, latency, cost and deployment requirements before production.
What we build

Build Claude into real business systems.

We do not build isolated model demos. We design the workflow around Claude, connect the right data and tools, add permissions and human controls, then evaluate the complete system before production.

AGENT SYSTEM

Claude agents

BUSINESS NEEDMulti-step work that currently requires people to gather context, make decisions across systems and complete a sequence of actions.
CLAUDE’S ROLEReason over the task, decide the next step, call approved tools and prepare outputs or actions.
TYPICAL OUTPUTAn agent that completes defined workflows across your systems, with approvals before sensitive actions.
SYSTEM FLOW
  1. Request
  2. Context
  3. Plan
  4. Tool calls
  5. Policy check
  6. Human approval
  7. Action
WHAT METABYTES ENGINEERS
OrchestrationTool definitions & APIsRetrievalPermissionsApproval gatesEvaluation & tracingFallbacks
EVERY PRODUCTION SYSTEM ALSO NEEDS
ContextToolsPermissionsEvaluationHuman controlsObservability
The exact architecture changes by workload, but these surrounding layers are what turn a capable model into a dependable business system.
How Metabytes helps
  1. DefineClarify the workflow, users, decisions and measurable outcome.
  2. DesignChoose Claude’s role and define the surrounding data, tools and controls.
  3. BuildDevelop the integrations, orchestration, interfaces and application logic.
  4. EvaluateTest the complete workflow against real examples and failure conditions.
  5. OperateMonitor model versions, cost, latency, quality and exceptions after launch.
Real workloads

See what a Claude workflow actually needs.

A model is only one part of the workflow. Each use case has its own business problem, the context Claude needs, the systems it connects to, the control points and the way the outcome is evaluated.

AGENT WORKFLOW

Customer operations agent

BUSINESS PROBLEMRoutine customer requests often span several systems and still require people to gather account context, apply policy and carry out standard actions manually.
WHY CLAUDEThe workflow requires reasoning across context and multiple tool calls: interpreting the request, deciding what is needed and sequencing approved actions.
WHAT COULD CHANGE THE DECISIONIf the task becomes very high-volume and highly repetitive, a smaller model or deterministic workflow may be more economical.
CONTEXT CLAUDE NEEDS
Customer recordAccount statusOrder historyService policyPrevious interactions
SYSTEMS & TOOLS
CRMHelpdeskOrder managementAccount APIPolicy search
HUMAN & POLICY CONTROL
User permissionsAction-level policy checksApproval for sensitive changesLow-confidence escalation
WORKFLOWCLAUDEHUMAN GATE
  1. RequestCustomer message
  2. Gather contextCRM · orders · policy
  3. PlanClaude reasons over the task
  4. Call toolsApproved APIs only
  5. Check policyAction-level rules
  6. ApprovalRequired for sensitive changes
  7. Update & respondSystem updated, reply sent
SUCCESS IS MEASURED BY
Correct action rateGrounded responsesUnnecessary escalationsTask completionLatencyCost per workflow
HOW METABYTES HELPSWe design the orchestration, connect the systems, scope tool permissions, define approval rules, build the evaluation set and instrument the workflow for production monitoring.Explore AI Agents & Automation
Technical integration

See how Claude can reason across company knowledge and tools

An agent run in practice: Claude plans, retrieves, calls approved tools and stops for a person before an external action.

Architecture & orchestration

Build around Claude, not into it.

Claude can sit behind a model gateway alongside other providers, while your prompts, tools, context, policies and evaluations stay in your own application layer. That makes it easier to change models, add fallbacks and evolve the system without rebuilding the product around one provider.

We design that separation deliberately, because the architecture around the model usually matters more than the model call itself.

APPLICATIONSWhere the request enters
AgentCopilotProduct featureAPI
MODEL GATEWAYKeeps the application decoupled from any one providerAuthRoutingPolicyCachingRetriesFallbackVersions
ORCHESTRATIONControls how the workflow behavesPromptsContext assemblyTool selectionMemoryStateApprovals
MODEL LAYERClaude selected, alternatives ready
ClaudeSELECTED ROUTEOther frontierAVAILABLEOpen / privateAVAILABLEFallbackSTANDBY
CONTEXTWhat Claude can readDocuments · knowledge base · CRM · product data · policy
TOOLSWhat Claude can doSearch · draft · update record · query account · run workflow
OBSERVE · EVALUATE · IMPROVETraces · quality · cost · latency · versions · fallback events
EXAMPLE REQUESTCUSTOMER OPERATIONS“Change the delivery address on my current order.”
  1. Customer requestAPP
  2. Application receives itAPP
  3. Gateway checks identity and policyGATEWAY
  4. Orchestrator retrieves account and orderCONTEXT
  5. Claude decides the required actionMODEL
  6. Order API tool updates the addressTOOLS
  7. Approval only if policy requires itORCHESTRATION
  8. Response to the customerAPP
  9. Trace and evaluation recordedOPS
PortablePrompts, tools and evaluation remain outside the provider-specific layer.
GovernedAuthentication, policies and approval rules are applied before actions are allowed.
ResilientFallbacks and routing stop one model dependency becoming a system dependency.
MeasurableEvery run can be evaluated, traced and compared across model versions.
METABYTES ENGINEERING
ArchitectureGatewayOrchestrationRetrievalToolingPermissionsEvaluationObservability
Claude is only one component. We design and implement the layers around it so the complete system can operate safely, change over time and remain measurable.
Data, tools & retrieval

Give Claude the right context and controls.

A useful Claude system needs more than access to data. It needs to retrieve the right information for the user, respect existing permissions, expose only approved tools and validate what happens before sensitive actions are taken.

We engineer those layers so Claude can work with company systems without becoming an uncontrolled route around them.

Retrieve only what is relevantSearch and retrieval narrow company knowledge to the context needed for the current task, rather than pushing entire data stores into the model.
Respect existing permissionsClaude inherits the user’s access boundaries. If the person cannot see a record, the model does not see it either.
Control what the model can doRead-only actions, drafting and external actions carry different permissions, policies and approval requirements.
PERMISSION-AWARE RETRIEVALSales manager
CAN ACCESSAssigned accountsSales playbookPricing guidance
CANNOT ACCESSHR recordsFinance-only documentsUnassigned customer data
STOP / ESCALATEGood systems are designed around failure states, not just the happy path. The workflow pauses and hands over when:
Required source not foundConflicting dataUser lacks permissionTool returns an errorConfidence below thresholdSensitive action needs approval
METABYTES ENGINEERING
Retrieval pipelinesIdentity & permissionsSource rankingTool APIsAction policiesStructured outputsApproval gatesValidationAudit logsEvaluation
The model call is the easy part. The engineering around context, permissions and actions is what determines whether the system is useful and safe in production.
Evaluation

Prove Claude works for the task.

We build evaluation sets from real tasks, expected outcomes and known failure conditions, then test Claude against alternative models before production. After launch, the same suite catches regressions when prompts, tools or model versions change.

The goal is not to prove Claude is best. It is to prove the system is good enough for the job.

Test the real taskPublic benchmarks are useful context, but they do not tell you whether the workflow works inside your business.
Inspect failuresA single score hides too much. We review why the system failed and which layer caused it.
Re-test changesPrompts, retrieval, tools and model versions can all change behaviour, so evaluations become part of the release process.
EVALUATION EVIDENCE LOOPWORKLOAD · CUSTOMER OPERATIONS AGENT
BUILD THE TEST SET
REAL TASKS
Update delivery addressCheck refund eligibilityAnswer account questionChange contact detailsEscalate policy exception
EXPECTED RESULT
Correct answerCorrect toolCorrect actionRequired approvalForbidden action
FAILURE CONDITIONS
Wrong accountUnsupported answerIncorrect toolPolicy violationUnapproved action
RUN CANDIDATE MODELSSAME TASKS · SAME RULES · SAME EVALUATION
ClaudeCandidate
Frontier alternativeCandidate
Open / privateCandidate
HELD CONSTANT
Same promptsSame toolsSame contextSame scoring rulesSame thresholds
No model is assumed to win. Each one runs the identical suite so the comparison is fair.
EVALUATE THE WORKFLOW
Task successDid the workflow complete the correct job?
GroundingWas the answer supported by allowed context?
Tool useWas the correct tool selected and called?
PolicyWere permissions and approval rules followed?
EscalationDid it involve a person when it should?
LatencyWas it fast enough for the user?
CostIs it economical at expected volume?
Acceptance thresholds are agreed per dimension before testing starts, so results are judged against the job, not against each other.
FAILURE REVIEW
Retrieved the wrong sourceSelected the wrong toolExceeded user permissionCorrect but unsupportedEscalated too oftenOn quality, over cost
Failures are grouped by type to find whether the cause is the model, retrieval, prompt, tool definition, policy or workflow design.
MODELRETRIEVALPROMPTTOOLPOLICYWORKFLOW
DECISION
READYMeets the workload threshold and can move to production.
RETESTPromising, but changes are needed before release.
NOT FOR THIS WORKLOADAnother model or architecture is a better fit.
Each decision is recorded with its evidence and failure review, so it can be revisited when the system changes.
REGRESSION LOOP
ProductionPrompt, tool or model changeRe-run evaluation setCompare for regressionsRelease or roll back
A new model version is not treated as an automatic upgrade. The same evaluation set runs again before production behaviour changes.
WE EVALUATE THE SYSTEM, NOT JUST THE MODELQuality depends on the whole workflow. A strong model with weak retrieval, loose tool permissions or a missing hand-off still fails in production, so every layer is tested.
Model outputRetrievalTool callsPolicyHuman hand-offLatencyCost
METABYTES EVALUATIONWe turn the workload into a repeatable test suite, define acceptance thresholds, run candidate models, review failures and keep the suite in the release process so changes are measured rather than guessed.
Evaluation datasetsExpected outputsScoring rulesFailure taxonomiesAutomated runsHuman reviewRegression checksRelease gates
Governance & controls

Govern every step of the Claude workflow.

Production governance is not one approval button. Identity, data access, tool permissions, policy rules and human checkpoints should all be enforced throughout the workflow, with every important action retained for review.

We design those controls into the architecture so Claude operates inside existing business rules rather than around them.

Identity firstEvery run is tied to a real user, service or system identity.
Least privilegeClaude only receives the context and tools required for the current task.
Policy before actionHigh-impact actions are checked against business rules before they run.
Trace what mattersRequests, sources, tool calls, decisions and approvals are retained for review.
GOVERNANCE CONTROL PLANE
DEFAULT CONTROLS BY ACTION TYPE
Read approved dataAutomatic within user permissions
Draft internal contentAutomatic
Update low-risk internal recordPolicy checked
Send external communicationApproval where required
Financial or irreversible actionHuman approval or block
HOW METABYTES HELPSGovernance is designed into the workflow.We define the permissions model, classify tool actions by risk, encode business rules, design approval paths and instrument every important step so the system can be reviewed and improved.
Identity integrationRole and attribute accessSource permissionsTool scopesPolicy checksApproval workflowsAction blockingAudit logsVersion trackingException review
AFTER THE RUN
Audit trailPolicy reviewException analysisEvaluationPrompt and model versionIncident investigation
A production system should make it possible to understand not only what Claude did, but why the workflow allowed it.
Deployment options

Choose how Claude enters your stack.

Direct access and cloud-platform routes come with different operational, procurement and control considerations. We select the route around your existing environment, then place the right governance and observability around it.

The model endpoint can change. Your application, policies and operating controls should not have to.

Existing cloud estateIf identity, networking, procurement and monitoring already run on AWS or Google Cloud, a platform route can simplify operational fit.
Direct accessA simpler path when the model does not need to sit inside an existing cloud-platform operating model.
Keep the application portablePrompts, tools, evaluations and business logic stay outside provider-specific integration code wherever practical.
YOUR APPLICATIONAgent · copilot · product feature
YOUR AI CONTROL LAYERBelongs to the system, not one route
AuthPolicyRoutingLoggingEvaluationCostRetriesFallbackVersions
CLAUDESame model family, different access path
Switching route changes the endpoint, not the application, prompts or controls above it.
ROUTE 01 · DIRECT

Direct API

BEST CONSIDERED WHENYou want a straightforward provider connection and do not need the model to inherit a larger cloud-platform control plane.
WHAT STILL NEEDS ENGINEERING
AuthenticationSecretsRate controlLoggingEvaluationRetriesPolicyModel versions
ROUTE
ApplicationControl layerDirect APIClaude
Direct does not mean unmanaged.
DEPLOYMENT DECISION AID
FACTORDIRECT APICLOUD PLATFORM ROUTE
Existing cloud operating modelLess dependent on itCan align more closely
Identity and network integrationDesigned separatelyCan align with platform controls
ProcurementProvider relationshipMay align with cloud procurement
PortabilityDepends on your architectureDepends on your architecture
ObservabilityYou implement itPlatform plus AI observability
Model and region availabilityConfirm during designConfirm per platform and region
MODEL AVAILABILITYSpecific Claude models, regions and platform capabilities can differ by route. We confirm the required model and region before finalising the deployment architecture.
DEPLOYMENT REVIEWThe right route fits the organisation around the workload, not simply the shortest path to an API key. We assess:
Cloud estateSecurityIdentity modelNetwork constraintsData locationProcurementRequired modelRegional availabilityLatencyObservabilityCost ownershipFallback strategyPortability
The output is a recommended route, the control design around it and a migration path if requirements change.
WE IMPLEMENT THE ROUTE AND THE CONTROLS AROUND IT
Platform integrationAI gatewayAuthenticationPolicy enforcementRoutingRetriesFallbacksLogging and tracesEvaluation hooksCost controlsModel versioningEnvironment config
If requirements change later, the application can route through another approved model path without rewriting the product.
Multi-model strategy

Route each workload to the right model.

Claude may be the best route for some reasoning-heavy or tool-driven workloads, while other tasks are better served by a faster, cheaper, private or differently specialised model. We design the routing logic around the workload, not the provider.

MODEL ROUTING DECISION ENGINEWORKLOAD → SIGNALS → ROUTE → FALLBACK → FEEDBACK
WORKLOAD
ROUTING SIGNALS
Task complexityHow much reasoning is required?HIGH
ContextWhat information is needed?LONG, MIXED
LatencyHow fast must it respond?TOLERANT
CostAcceptable cost per task?MODERATE
PolicyResidency or model restrictions?STANDARD
CapabilityTools, multimodal or code?TOOLS
MODEL ROUTE
ClaudeReasoning and tool usePRIMARY
Frontier alternativeSpecialist capabilityFALLBACK
Smaller modelFast and economicalAVAILABLE
Open or privateDeployment controlAVAILABLE
WHY THIS ROUTELong context, multi-step reasoning and tool use point to Claude, with a secondary frontier model on standby.
EVALUATION FEEDBACKEvery routed run is traced and scored, so routing rules improve from evidence rather than assumption.
WHEN CLAUDE EARNS THE ROUTE
Reasoning-heavy taskLong or mixed contextAgentic tool useCoding and repositoriesComplex synthesisHigh output quality bar
EXAMPLE“Why was this refund rejected, and what is the next allowed action?”Multi-step reasoning + policy context + account data + tool use → Claude, with a secondary frontier model as fallback.
Claude is selected because the workload justifies it, not because the application was hard-wired to Claude.
WHEN ANOTHER ROUTE MAY WIN
Smaller modelHigh-volume, repetitive, low-complexity tasks.
Alternative frontierA workload performs better in evaluation elsewhere.
Open or private modelDeployment control or data location dominates.
Deterministic workflowThe task does not need an LLM at all.
Alternatives are run against the same evaluation set, so a route only changes when the evidence supports it.
FALLBACK LOGIC
Provider fallbackPrimary model unavailable or degraded, so the request routes to an approved secondary model.
Quality fallbackPrimary response fails validation, so the system retries, changes route or escalates.
TESTED BEFORE LAUNCH
Provider outageDegraded latencyRate limitsValidation failureEscalation path
Fallbacks are tested in advance, not invented during an outage.
ROUTING POLICY TYPES
Static rulesKnown workload, known preferred route.
Policy rulesSensitive workloads use approved routes only.
Evaluation-ledRoute chosen on measured workload performance.
Runtime routingRoute adapts to context, latency or availability.
We use the simplest routing method that meets the requirement.
WE DESIGN THE ROUTING LOGIC, NOT JUST THE MODEL LIST
Model gatewayRouting rulesWorkload classificationPolicy filtersFallback routesRetry logicEvaluation hooksLatency and cost telemetryVersion controlsRoute traces
We define the routing criteria, implement the gateway and fallbacks, evaluate candidate models against the workload and instrument the system so routing decisions can be reviewed and improved.
Relevant services

The services behind a successful Claude system.

Claude becomes useful in production through the engineering, knowledge, automation, governance and operations built around it.

LEAD SERVICE · THE FOUNDATIONAI Platforms & EngineeringArchitecture, model routing, integration and LLMOps. The platform every other service builds on.View service
Production walkthrough

See the full Claude system in motion.

Claude is only one step in a production workflow. A reliable system identifies the user, retrieves the right context, enforces policy, calls approved tools, handles exceptions and records what happened.

This walkthrough shows the layers Metabytes designs around the model.

THE REQUEST“Change the delivery address for order 4821 and confirm whether it can still ship today.”CUSTOMER ACCOUNT CHANGE WORKFLOW
IF ALLOWED“Your delivery address has been updated. The order can still ship today.”
IF BLOCKED“The order is already in fulfilment, so I have passed this to the operations team.”
WHAT THIS PROVES
Claude never touches systems directly; every action goes through an approved tool.Business rules decide what is allowed, not the model.Exceptions reach a person with the full context attached.Every run can be scored, traced and reviewed later.
LAYERS METABYTES ENGINEERS
Application integrationIdentity and accessRetrieval and contextOrchestrationTool APIsPolicy engineException handlingResponse designEvaluationObservability
WITHOUT THESE LAYERSThe same model call could read the wrong account, change an order that has already shipped or leave no record of why it happened.
ONE MODEL CALL, NINE STEPSClaude handles a single step. The other eight are engineering that makes the result safe, correct and repeatable.
  1. RUNTIME TRACE9 STEPS · 1 MODEL CALL
  2. RequestApplication integrationThe application receives the request and attaches the user and session identity.
  3. Identity & permissionsIdentity and accessConfirms the customer, account scope and which order data this user may access.
  4. Context retrievalRetrieval and contextRetrieves the order, delivery status, customer record and fulfilment policy for this request.
  5. Claude reasoningPrompting and orchestrationInterprets the request, decides which checks are needed and which approved tools to call.
  6. Tool callsTool APIs and scopesorder.get() · shipment.check_status() · address.validate() · order.update_address()
  7. Policy gatePolicy engineAddress changes are allowed only before fulfilment reaches the locked stage.ALLOWAPPROVALBLOCKESCALATE
  8. ActionWorkflow and exceptionsAddress updated, or escalated to operations with the reason and context attached.
  9. ResponseResponse designA clear customer-facing reply, whichever path was taken.
  10. Evaluation & auditEvaluation and observabilityThe run is scored and every source, decision, tool call and outcome is traced.
Comparison

Compare Claude with other models by workload.

Start from the task, not the brand. Our comparison tool lines Claude up against other models on the priorities that matter for a workload, so evaluation starts from a better shortlist.

Claude vs. alternativesWORKLOAD-LED
PRIORITIESLong contextGroundingCostEU residency
ClaudeSHORTLISTLong contextGroundingCostEU residency
Frontier alternativeSHORTLISTLong contextGroundingCostEU residency
Open or privateREVIEW FURTHERLong contextGroundingCostEU residency
OUTPUT2 models shortlisted for long documents, 1 held for reviewNEXT · EVALUATE ON REAL TASKS
Selected work

See the process in working systems.

Customer service agentAll seven phases, from workflow map to monitored production.UnderstandBuildDeployView project →Multi-model workflow routerHow the Build and Improve phases stay model-agnostic.DesignBuildImproveView project →Document intelligence pipelineExtracting, validating and routing documents with human review.PrioritiseBuildEvaluateView project →Governed knowledge assistantPermissioned retrieval with citations, evaluation and audit.DesignEvaluateDeployView project →
FAQs

Questions about Claude integration

Not sure where to start?

Bring us the workflow.

Tell us where you are considering Claude. We can help assess fit, integration, governance and how it compares with other models for the workload.

Talk to our team→No finished brief required.

Start a Claude project

Where should Claude sit in your workflow?

Bring us the workflow, data sources, tools, risk boundaries and success measures. We will confirm whether Claude is the right model for the job, choose the access route and design the context, controls and evaluation around it before you commit to production.

Start a Claude project Book a Claude architecture review
Claude implementation receipt
ModelClaude Opus / Sonnet / Haiku
AccessAnthropic API / Amazon Bedrock / Google Vertex AI
Role in systemReasoning / agent / coding / knowledge
ContextPrompt / RAG / tools / MCP
ControlsPermissions + approvals + guardrails
EvaluationWorkload test set + regression
OperationsMetabytes / shared / customer
FallbackSecondary model route
Claude architecture review