Migrate Workloads and Assistants to Claude
Move to Claude Without Leaving Your Prompts or Evals Behind
Merito moves your assistants, retrieval pipelines, and AI workloads onto Claude while protecting what your team already built. The prompts, the context engineering, and the evaluation history come with you, proven against a parity baseline before anything cuts over.
Introduction
Choosing Claude is the easy decision. Moving a production assistant onto it without regressing quality, breaking an integration, or losing months of prompt tuning is the part that needs real engineering. A migration is not a copy-and-paste of system prompts into a new API. Model behavior differs, tool-calling conventions differ, context windows and formatting differ, and the evaluation harness that proved the old assistant was good has to be re-pointed and re-run.
Merito treats this as a migration program with a parity bar, not a science experiment. We inventory the current footprint, map every capability and prompt onto Claude and the Claude Developer Platform, rebuild the workload, and then run your own evaluation sets against the new implementation until Claude matches or beats the baseline you trusted before. Only then does traffic move.
The goal is continuity. Your team invested in prompts, context engineering, and a body of evaluation history that encodes what good looks like for your business. That investment moves with you. Merito is a services-led delivery partner for Anthropic Claude, so the same team that plans the migration builds it, tests it, and stays through cutover and decommission.
When the migration is the first step toward building net-new agents on Claude rather than a like-for-like port, Merito routes the work into the AI-Powered Software Development solution so the migrated foundation becomes the launch point for new agentic capability.
The challenge
The teams that struggle with a model switch rarely fail on the integration plumbing. They fail because the new assistant ships without being held to the same bar the old one met. Prompts get hand-ported, a few examples look fine in a demo, traffic moves, and three weeks later support tickets reveal that a category of answers quietly got worse. By then the old platform is half decommissioned and rolling back is painful.
There is a second trap. Teams treat the prompt library and evaluation sets as disposable, assuming a stronger model means they can start clean. So they discard the very artifacts that encode what their users consider correct. The prompts captured domain rules learned over many iterations. The eval sets captured edge cases that caused real incidents. Throwing them away turns a migration into a rebuild and resets quality to zero.
Merito closes both gaps. The current footprint is inventoried before anything is rebuilt, the prompt and context investment is carried forward deliberately, and the evaluation history becomes a hard parity gate. Claude has to earn the cutover against your own numbers, not a vendor benchmark.
Value
Catalog every assistant, prompt, tool, retrieval source, integration, and evaluation set in scope so the migration starts from a complete picture instead of the parts someone happened to remember.
Port and re-tune your prompt library for Claude, preserving the domain rules and guardrails encoded over many iterations rather than rewriting them from scratch.
Reassemble retrieval pipelines, grounding sources, system instructions, and tool definitions on Claude and the Claude Developer Platform so behavior stays familiar to your users.
Re-point your test sets, scoring rubrics, and golden answers at the Claude implementation and run them until Claude matches or beats the prior baseline on the metrics that matter.
Translate tool-calling schemas, function definitions, and downstream integrations to Claude conventions so the surrounding application keeps working without a rewrite.
Move traffic in controlled stages with shadow runs and canary cohorts so issues surface on a fraction of users before the full population shifts.
Retire the prior platform on a defined date with rollback windows, contract alignment, and a clean record of what moved and when.
Buyer triggers
Approach
The work moves through five stages, each producing an artifact leadership can review. We start by inventorying the current footprint, then map capabilities and prompts onto Claude, build the migrated workload, prove parity against your own evaluation history, and plan a staged cutover with a clean decommission of the prior platform. Nothing moves to production until Claude has met the baseline the old assistant set, and when the migration lands the work hands off into Merito AI Rollout, Managed AI Operations, and AI FinOps services.
How it works
Each stage is scoped, time-boxed, and gated, so the migration only advances when the prior stage produced evidence the next one can build on.
Step 1
Merito catalogs the assistants, prompts, tools, retrieval sources, integrations, and evaluation sets in scope, then assesses where behavior is load-bearing and where risk concentrates. Deliverable: migration inventory with a risk and complexity rating per workload.
Step 2
We map each capability, prompt, tool schema, and context source to its target shape on Claude and the Claude Developer Platform, flagging where model differences need re-tuning rather than a literal port. Deliverable: capability and prompt mapping with a target architecture.
Step 3
Merito ports and re-tunes the prompt portfolio, rebuilds the context engineering and retrieval pipeline, and wires tool-calling and integrations to Claude conventions. Deliverable: a working Claude implementation in a non-production environment.
Step 4
Your test sets, scoring rubrics, and golden answers are re-pointed at the new implementation and run until Claude matches or beats the prior baseline, with gaps fixed and re-tested rather than waived. Deliverable: a parity report leadership can use to approve cutover.
Step 5
Traffic shifts through shadow runs and canary cohorts to the full population, the prior platform retires on an agreed date, and the workload hands off into rollout, operations, and FinOps. Deliverable: staged cutover plan, decommission record, and operations handoff.
Engagement models
Migrations vary from a single assistant on a deadline to a portfolio of workloads across teams. These engagement models let leadership match scope and cost to the move actually in front of them.
A bounded engagement that inventories the current footprint, consolidates scattered evaluation history into a single parity baseline, and produces a capability and prompt mapping with a sized migration plan. Right when leadership needs an evidence-based estimate before funding the full move.
End-to-end migration of one production assistant or retrieval workload onto Claude, from prompt portfolio port through parity testing and staged cutover, with the prior platform decommissioned on a defined date.
A sequenced program that moves a portfolio of assistants and workloads onto Claude in waves, with shared parity tooling, reusable prompt and context patterns, and a unified cutover and FinOps plan so later waves move faster than the first.
Start a Claude migration
If your team has chosen Claude and needs to move a production assistant or workload onto it without losing quality or the investment behind it, Merito can scope the migration and run the inventory and parity baseline first.
Capabilities
Migration engagements
01
Migrate a production support assistant onto Claude, re-pointing its evaluation suite so answer quality and tone are proven at parity before any customer-facing traffic shifts.
02
Rebuild a retrieval-augmented workload on Claude and the Claude Developer Platform, preserving grounding sources and context strategy while re-tuning prompts for the new model.
03
Carry a tuned prompt portfolio onto Claude, preserving the domain rules and guardrails encoded over many iterations and re-tuning where model behavior differs.
04
Move an internal developer or analyst copilot off a prior platform onto Claude with staged cutover, canary cohorts, and a decommission plan for the legacy provider.
05
Pull scattered test sets, rubrics, and golden answers into a single parity baseline so the migration has a defensible quality gate leadership can approve against.
06
Move a workload onto Claude against a fixed prior-platform contract end date with a sequenced cutover that protects quality while hitting the timeline.
Business impact
A migration succeeds when users never feel it and leadership can prove it. Merito scopes the work so the prompt, context, and evaluation investment carries forward and Claude is held to the bar the prior assistant set before traffic moves. Buyers typically report a faster, calmer cutover, far fewer post-move quality surprises, and a workload that arrives in production already instrumented for operations and cost control.
Quality continuity
Continuity of quality, proven at parity before users move
Investment preserved
Preserved investment in prompts, context, and evaluation history
Evidence-based cutover
A defensible cutover date backed by evidence, not optimism
Reversible rollout
Lower migration risk through staged, reversible traffic shifts
Clean decommission
A clean decommission of the prior platform with no loose ends
Operations-ready
A workload that hands off ready into operations and FinOps
Credibility
Where it fits
Industries
Migrate a live customer or employee assistant onto Claude with parity proven before any traffic shifts.
Rebuild a RAG or grounded-answer pipeline on Claude while preserving sources and context strategy.
Carry a heavily tuned prompt library forward to Claude instead of starting the library over.
Hit a fixed prior-platform end date with a sequenced cutover that protects quality.
Turn scattered test sets and rubrics into a single parity baseline that gates the move.
Land a clean Claude foundation that becomes the launch point for net-new agentic builds.
Related services
A migration is the front door to running Claude well. These adjacent Merito services pick up the moment the workload lands and turn a successful cutover into a sustained, governed, cost-controlled operation.
Why Merito
Merito will not call a migration done until your own evaluation sets show Claude matching or beating the prior baseline. The bar is your numbers, applied honestly.
Prompts, context engineering, and evaluation history are treated as assets to preserve, not artifacts to discard because a stronger model arrived.
The same Merito team that plans the migration builds it, tests it, cuts it over, and is ready to operate it, so nothing is lost in a handoff between vendors.
A clean migration is the launch point for net-new agentic work, and Merito carries the workload into rollout, operations, FinOps, and Agentic Build.
Frequently Asked Questions
Contact form
Share what the workload does today, where its prompts and evaluation sets live, the cutover timeline you are working toward, and any prior-platform deadline driving the move. Merito will help shape the migration and the parity baseline.
Scope
Share the workload to migrate, where its prompts and evaluation history live, the integration and retrieval shape, and any prior-platform deadline driving the move.
Response path
Merito routes this request through the consultation workflow and follows up with a Claude migration specialist to size the inventory, parity baseline, and cutover plan.