Consulting / Claude implementation

Put one Claude workload into production.

Gyde designs the context, tools, evaluations, permissions and operating model around a defined enterprise workload. The engagement ends with a deployed system and a team that can run it.

Scope a Claude workload See our approach
A controlled Claude workload Representative scope

Context, tools and evidence in one release path

Each workload has a defined information boundary, permitted actions, evaluation gate and accountable reviewer.

Context boundary Tool permissions Evaluation gate Named owner
01Claude API and cloud access 02Agents and MCP 03Production handover

Why this layer matters

Claude needs a system around the model.

A production workload has to retrieve the right context, call permitted tools, handle exceptions and produce evidence for release decisions. Those responsibilities need explicit owners and testable boundaries.

01

Unbounded context

Documents, records and conversation history often enter the prompt without a clear source, permission rule or retention decision.

02

Unsafe action paths

Tools can update business systems, so authentication, scopes, confirmations and exception handling must be designed before access is granted.

03

Approval by demonstration

A convincing example does not establish quality across routine work, edge cases, policy failures and model changes.

What we deliver

Architecture, implementation and operation stay in one scope.

01

Workload and deployment design

Define the job, users, unacceptable failures and access path through the Anthropic API or an approved cloud environment.

  • Workflow and responsibility map
  • API or cloud deployment decision
  • Data and retention boundary
02

Context, agents and MCP

Build the retrieval, tool contracts, state and human checkpoints required for the complete workflow.

  • Context and prompt architecture
  • MCP server or tool integration
  • Permission and escalation design
03

Evaluation and operations

Measure representative tasks, connect results to release decisions and hand the operating system to named owners.

  • Task and failure-mode eval suite
  • Cost, latency and intervention telemetry
  • Runbook and team handover

Release record

The decisions behind the workload remain visible.

The delivery record connects architecture choices, access rules and evaluation results to the production release.

01
Boundary
Defined workload and data classes
02
Context
Named sources and retrieval rules
03
Tools
Narrow scopes and confirmations
04
Review
Accountable human checkpoints
05
Evaluation
Release thresholds and failure cases
06
Operation
Owner, runbook and change record

The engagement

Move one workload through four release decisions.

Each phase produces working software and a reviewable record for the next approval.

1

Frame

Choose the workload

Set the workflow boundary, current baseline, required decisions, owners and unacceptable failures.

2

Design

Specify the system

Choose model access, context sources, tools, permission scopes, review points and evaluation criteria.

3

Build

Release the first path

Implement one complete workflow with representative data, actual access controls and observable failure handling.

4

Operate

Run and hand over

Review quality, cost, latency and intervention data, then transfer the runbook and release process to the operating team.

What you leave with

A release your team can inspect and operate.

The handover covers the deployed path, its current limits and the controls required to maintain it.

01

A deployed Claude workload

One complete application or workflow running through the agreed model, context, tools and review path.

02

A release evidence pack

Representative evaluation results, permission records, cost per task, latency and known limits for the current release.

03

An operating handover

Named owners, incident and escalation procedures, change controls and the technical documentation required to maintain the workload.

Typical building blocks

Claude APIAmazon BedrockGoogle Vertex AIMicrosoft FoundryMCPAgent SDKPrompt cachingEvals
Enable business teams to use Claude ↗︎

Production evidence

Claude is already running in customer workflows.

These records describe the deployed workload and the published evidence available today.

01 / Published customer story Accounti

Accounti Inc.

Investor onboarding and KYC document workflow

A secure investor portal uses Claude to extract KYC fields, screen document quality and route exceptions to the Accounti operations team.

Claude APIHaiku 4.5Sonnet 4.6
33%faster onboarding 79%fewer emails 1,000+documents processed
Read the Accounti story
02 / Production customer TossIt

Tossit Technologies Private Limited

Voice-first cook assessment system

A mobile assessment flow captures local-language responses, uses Claude to evaluate the evidence and sends low-confidence answers for human review.

Haiku 4.5Sonnet 4.6Human review
  • Local-language voice input
  • Mobile web delivery
  • Low-confidence review queue

Engineering rollout

Deploying Claude Code across a team?

The dedicated enablement service covers identity, managed policy, repository guidance, MCP controls, pilot measurement and developer coaching.

Managed settingsRepository guidancePilot evidence
Claude Code rollout Policy / repositories / adoption Explore Claude Code enablement ↗︎

Questions

Before we begin.

Can Gyde help us decide whether Claude fits the workload?

Yes. The first step defines representative tasks and compares the required quality, latency, context, deployment and cost constraints. The recommendation records where Claude fits, which model and access path to use, and which limits the production design must handle.

Do you deploy through Anthropic, AWS, Google Cloud or Microsoft?

Gyde supports direct Anthropic API access and the supported enterprise cloud paths. The decision follows your identity, procurement, region, compliance, feature availability and operations requirements, with the trade-offs documented before implementation begins.

What does MCP add to a Claude implementation?

Model Context Protocol gives Claude a standard way to discover and use approved data sources and tools. A production implementation still needs authentication, narrow permission scopes, useful tool contracts, audit records, failure handling and evaluations based on real tasks.

How do you evaluate a Claude agent?

The evaluation suite covers representative tasks, edge cases, policy failures and complete multi-step outcomes. Automated checks are calibrated against domain review, and release thresholds include task success, intervention, latency, cost and important safety conditions.

Can this work with data and systems hosted in India?

Yes. The architecture records where data is stored, which endpoint receives each class of information and what must remain in an approved environment. Legal and regulatory interpretations remain with the client, while Gyde implements the agreed technical controls and evidence.

Bring a defined business constraint

Bring one Claude workload.

We will define the production boundary, deployment path, evaluation criteria and smallest complete release.

Scope a Claude workload