Solution · AI governanceFor CIO & AI Platform

Your Claude usage is
growing 40% / month.
Govern it.

Bespoke system prompts, tool configs, and org-wide policy that cut token usage 30–60% and standardize agent behavior — without touching the model. We've built Claude deployments at three Fortune 500s and twenty mid-market SaaS companies.

Anthropic-recommended partner·23 deployments · 9-figure aggregate token spend
claude-config.difftokens ↓ 47%
- You are a helpful assistant. Be thorough,
- detailed, and explore all possible…
- <all_tools>128 items</all_tools>
 
+ ROLE: AWS infra ops. Concise.
+ Refuse off-topic.
+ <scoped_tools role="infra">
+ ec2_*, rds_*, iam_read
+ </scoped_tools>
+ <output_budget>512</output_budget>
In-tokens
↓ 52%
Out-tokens
↓ 38%
Cost / task
↓ 47%
What we ship

Three artifacts. Org-wide impact.

Every engagement produces a versioned, audit-able config bundle that your platform team owns from day one.

01 · Prompts

Role-scoped system prompts

A library of system prompts scoped per role — infra, support, legal, sales engineering — with output budgets, refusal policy, and tool affordances tuned to actual workflow. Replaces the "be a helpful assistant" sprawl that's eating your token bill.

YAML · Git-versioned · CI-tested
02 · Tool configs

Scoped MCP & tool catalogs

Most Claude deployments expose every tool to every agent. We scope tools by role and by task, slashing the system-prompt overhead Claude pays to ignore irrelevant tools. Typical savings: 35–50% on input tokens.

MCP-native · audit-logged
03 · Policy

Governance policy & reporting

Token budgets per team, escalation paths, refusal taxonomy, and a monthly governance review aligned to your AI Risk Committee. Maps cleanly onto SOC 2 and ISO 42001 evidence.

SOC 2 · ISO 42001 evidence
0% ↓
Median token cost per task
Across 23 deployments, post-rollout.
0 weeks
To first rollout
Audit, design, ship to one pilot team.
0% of tools
Audit-logged & role-scoped
Every MCP call is traceable to a role and policy.
0
Deployments shipped
F500 + mid-market SaaS, since 2024.
"

Our Anthropic bill was growing faster than our customer count. BlueArch rewrote our system prompts, scoped our MCP catalog by team, and gave us an ISO-friendly governance review. Token spend dropped 51% in the first quarter and we passed our AI audit.

RB
R. Bhattacharya
Head of AI Platform · Fortune 500 retail

Quarter-1 outcome

Token spend
↓ 51%
Tools in catalog
248 → 41 scoped
Audit findings
0
Time-to-deploy
3 weeks
FAQ

Common questions.

Do you replace our Claude setup?+
No. We harden and standardize what your teams already use.
Is this only prompt work?+
No. It includes tool configuration, workflow policy, and operating guidance.
Can this connect to AWS governance?+
Yes. The strongest use cases connect Claude behavior to AWS operations and BlueArch governance data.

Audit your Claude bill. Find the 40%.

Bring one representative workflow and the current monthly spend. We will show where context, tools, and prompts are wasting tokens.