Enterprise control plane
ReclaimLLM connects org-wide visibility, attributable token usage, and security controls to the full sessions behind them—across assistants, providers, and teams.
Three connected problems
Coding assistants, browser chats, and direct API calls produce separate histories. RCLM turns them into one searchable session record attributed to the right developer, team, project, model, and provider.
→ Know what is being used, by whom, and for what kind of work.
Token totals become useful when they are connected to the sessions that produced them. Break usage down across the organization and investigate the agent runs, models, and workflows behind a spike.
→ Move from monthly totals to attributable, reviewable usage.
Keep secrets out of model context with hook-level DLP, encrypt raw session details, control who can decrypt them, and preserve an audit trail of enterprise administration and access-sensitive actions.
→ Give security teams a control layer tied to real AI activity.
AI session intelligence
RCLM analyzes completed session evidence across the organization to surface where AI work is getting expensive, repetitive, or stuck. Teams can see the concentration, choose the right owner, and open the sessions behind every finding.
Signals guide investigation. They are not employee-performance scores or automatic policy violations.
| Team | P1 · Restart | P5 · Bloat | P8 · Duplicate | P10 · Model |
|---|---|---|---|---|
| Platform | 42k | 3 | — | 18k |
| Product | 12k | 31k | 4 | — |
| Infra | — | 19k | 2 | 27k |
Usage baseline deviation
Compared with the member's own rolling history.
Runaway or looping session
Repeated failures, retries, or abnormal tool volume.
01
Find recurring friction such as restart churn, repeated file discovery, oversized context, duplicated work, onboarding cost, and model–task mismatch.
02
Review unusual usage, first-seen technology, and runaway or looping sessions with severity, occurrence history, and explicit detector logic.
03
Move from a team or project pattern to the linked sessions, then acknowledge, resolve, dismiss, or route the finding with the full context in view.
Token capacity case study
RCLM reduces repeated reads and shapes large search and shell results before they are sent through the rest of an agent session. That turns context your team would otherwise pay to process again into capacity for more useful work.
Enterprise costs $10 per seat each month. At sufficient usage, the value of reclaimed provider capacity can offset part or all of that subscription, so RCLM is not only an observability expense. The exact dollar offset depends on provider, model, prompt caching, and workload mix; this case study did not convert tokens to dollars or claim a billing reduction.
Read the full case study →676,061
text tool-result tokens removed
16.46%
text tool-result reduction
19.71%
equivalent tool-result capacity increase
Window
15 days
Eligible sessions
61
Original tokens
4,106,180
Measured counterfactual from an anonymized two-user software organization in shadow/observe mode. The result applies to text tool-result tokens—not total model input, total billing, completed tasks, or all organizational AI usage.
Operating model
Dashboards answer how much. ReclaimLLM keeps the chain of evidence needed to answer what happened, why it happened, and which policy applied.
Normalize sessions from native agent hooks, browser conversations, local proxy traffic, and the enterprise gateway.
Connect usage to organization, team, developer, project, model, and capture source.
Open the session behind a cost change, policy question, or operational signal instead of stopping at a chart.
Apply role boundaries, retention, encryption, gateway policy, audit logging, and SIEM delivery from one enterprise workspace.
Technical deep dives
Observability
Explore cross-tool usage analytics, attribution, investigation workflows, and the difference between telemetry rollups and replayable session evidence.
Explore enterprise observability →Gateway
See how organization credentials, team-scoped gateway keys, model restrictions, and proxy request logging create a governed route to LLM providers.
Explore the Enterprise LLM Gateway →Enterprise trial
Create an organization, invite your team, and start with three months free.
Start enterprise trial →