Teams building document and reasoning applications
Use Claude for synthesis, analysis, extraction, drafting, coding, research, and long-context workflows with measurable criteria.
Claude API, tool use, structured workflows, long-context applications, prompt caching, MCP, retrieval, evaluations, and agents
Anthropic Claude integration services
Rokad builds production applications and agent workflows with Anthropic Claude across tool use, long-context analysis, retrieval, MCP, structured outputs, and evaluation.
Platform fit / 01
Designed for teams with a specific platform requirement.
Claude can support analysis, coding, document-intensive work, agent workflows, and tool-enabled applications. Rokad defines task boundaries, context strategy, tool permissions, MCP integration, prompt and response contracts, human control, evaluation, observability, cost, and provider lifecycle.
Enterprises developing tool-enabled agents
Connect Claude to authorised systems through functions or MCP with policy, approval, audit, and recovery.
Products adopting multiple model providers
Evaluate Claude against tasks, route work appropriately, and maintain abstractions, fallbacks, and migration controls.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
Large context is used without information architecture
Documents, instructions, retrieved evidence, tool results, and conversation state compete for attention and increase cost.
Agent tools expose excessive authority
Broad APIs and MCP servers allow actions without scoped permissions, validation, approval, or transaction recovery.
Qualitative preference replaces evaluation
Teams select models from a few demonstrations rather than representative tasks, failure modes, latency, and cost.
Platform capabilities / 03
What Rokad can implement and operate.
01
Claude API task design, model evaluation, architecture, and production integration
02
Messages API, streaming, tool use, structured application workflows, and conversation state
03
Long-context document analysis, synthesis, extraction, comparison, drafting, and review
04
MCP client and server integration, authorised tools, resources, identity, and policy
05
Retrieval, citations, knowledge systems, prompt caching, context composition, and data controls
06
Agent workflows, approval gates, human review, audit, fallback, and recovery
07
Evaluation, tracing, latency, cost, quotas, versions, provider routing, and managed operation
Implementation system / 04
The architecture behind a dependable platform delivery.
Claude task contract
Instructions, context, evidence, outputs, tools, uncertainty, constraints, review, escalation, and success criteria.
Context architecture
System instructions, conversation, documents, retrieval, cached context, tool results, compression, and provenance.
Tool and MCP layer
Functions, servers, resources, schemas, authentication, permissions, approvals, validation, audit, and recovery.
Production evaluation
Datasets, graders, tool trajectories, document fidelity, latency, cost, safety, regressions, and release decisions.
Use cases / 05
Where this platform creates practical leverage.
Document and contract analysis
Compare, extract, summarise, identify issues, cite evidence, route review, and produce structured outputs.
Research and knowledge assistant
Combine governed retrieval, long-context synthesis, source handling, structured findings, and human verification.
Developer and code workflows
Support code understanding, planning, review, transformation, testing, documentation, and controlled tool use.
Enterprise MCP agent
Expose approved data and actions through MCP with user identity, policy, audit, approval, and operational boundaries.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Context is curated, not accumulated
Select relevant instructions and evidence, preserve provenance, summarise stale state, and avoid sending unnecessary data.
MCP servers are trust boundaries
Authenticate users and services, expose narrow capabilities, validate arguments, limit data, log actions, and manage versions.
Agent trajectories are evaluated
Measure tool choice, sequence, parameters, evidence, final output, cost, latency, and recovery—not only the final prose.
Quality and governance / 07
Production controls are part of the implementation.
Evaluated behaviour
Representative datasets, task criteria, failure modes, model comparisons, and release thresholds are defined before production expansion.
Governed model access
Identity, data boundaries, tool permissions, moderation, approvals, audit, retention, and provider controls match the use case.
Provider-aware operation
Models, prompts, tools, latency, cost, quotas, versions, fallbacks, telemetry, and migration risk are monitored explicitly.
Delivery / 08
A controlled path from assessment to operation.
Assess
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Design
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Implement and validate
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Launch and operate
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
Claude use-case, context, tool, data, provider, security, and risk assessment
Application, context, MCP, tool, retrieval, evaluation, and operating architecture
Production Claude API applications, agents, document workflows, and integrations
MCP servers or clients, tools, permissions, approvals, audit, and recovery controls
Evaluation datasets, trajectory tests, tracing, monitoring, cost, and release controls
Developer, product, operator, governance, support, and handover documentation
Engagement models / 09
Use the delivery structure that matches the platform work.
Assessment and roadmap
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
Fixed-scope implementation
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Embedded platform specialists
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Managed platform evolution
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
Compare adjacent platforms or continue into the wider system.
01
OpenAI
Responses API, agents, tools, retrieval, multimodal applications, and evaluation.
02
Google Gemini
Multimodal Gemini applications, function calling, structured output, grounding, and Google integration.
03
Amazon Bedrock
Managed multi-model access, knowledge bases, agents, guardrails, and AWS services.
01
AI development
AI applications, agents, retrieval, evaluation, model integration, and intelligent workflows.
02
Software development
Custom applications, backends, integrations, APIs, marketplaces, and enterprise systems.
03
Technology consulting and research
Discovery, architecture, roadmaps, due diligence, vendor evaluation, and execution planning.
FAQ
Anthropic Claude integration services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad build MCP integrations for Claude?
Can Rokad build MCP integrations for Claude?
Yes. We can design and implement MCP clients or servers with tools, resources, schemas, authentication, identity context, permissions, audit, deployment, and support.
02Can Claude analyse large document collections?
Can Claude analyse large document collections?
Yes, but collection design may combine direct context, retrieval, chunking, metadata, filtering, citations, cached context, and staged analysis according to scale and task.
03Can Claude call business systems safely?
Can Claude call business systems safely?
Yes, when tools are narrowly scoped and surrounded by validation, policy, approvals, idempotency, audit, limits, and recovery appropriate to the action.
04Can Rokad compare Claude with other providers?
Can Rokad compare Claude with other providers?
Yes. We evaluate representative tasks across quality, tools, context, latency, cost, safety, hosting, data controls, and operating requirements.
Anthropic Claude · AI integration services
Build Claude around deliberate context, narrow tools, and measurable task performance.
Rokad can engineer the application, MCP and tool layer, retrieval, evaluations, controls, and production operation.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.