Use cases
Six scenarios that each, individually, justify the £499/mo Enterprise tier. Most teams hit at least three of them within the first 90 days of using us.
Cross-provider continuity for distributed teams
For: AI ops leads at multi-provider orgs
Scenario: Alice spent 3 hours in Claude refining the Q3 forecast. Bob needs to continue tomorrow but his license is for ChatGPT. Without us: 30+ minutes of re-briefing. With us: Bob clicks restore_chat, ChatGPT opens with Alice's full context, work continues in 90 seconds.
Outcome: Cross-provider handoff time drops from 30 min to 90 sec. Compounds across every employee × every provider switch × every week.
Employee handover without losing AI institutional knowledge
For: Heads of People + Engineering at growing orgs
Scenario: Sarah resigns after 4 months building the customer-onboarding playbook inside Claude. Without us: she frantically writes Confluence docs in her notice period; Tom rebuilds 60% from scratch anyway. With us: agent transfers cryptographically; Tom inherits 4 months of receipts + memory snapshots on day 1.
Outcome: Employee turnover stops resetting AI institutional knowledge to zero. Reduces onboarding ramp by an estimated 4-8 weeks per role.
Org-wide AI de-duplication
For: CTOs + ops leads at 50-500 person teams
Scenario: Maria opens Claude Monday: "draft a SOC 2 audit prep document." Our org_context_lookup MCP middleware queries the org's receipts and surfaces: "Carlos finished this on May 3rd — see receipts rcpt_01XK... Want to start from his work?" Maria saves a day.
Outcome: Eliminate 15-25% of AI work that's currently duplicated across teammates who can't see each other's past conversations.
SOC 2 + ISO 42001 + EU AI Act audit trail
For: CISOs + compliance leads in regulated industries
Scenario: EU AI Act enforcement starts August 2nd. SOC 2 audit teams now ask specifically about AI-assisted work. Most companies' answer: "we don't have an audit trail." Ours: every AI conversation across every provider becomes a cryptographically signed receipt with model attribution, cost, environment, and per-employee author tag. Evidence packs auto-generate quarterly.
Outcome: Compliance posture upgraded from "we don't know" to "here's the signed evidence pack" with no behaviour change for engineers.
Cost attribution across multiple LLM providers
For: CFOs + FinOps leads
Scenario: AI spend shows up as one terrifying line on the Anthropic + OpenAI invoices. With us: every receipt logs runtime cost in £, tagged with project + team + provider. Break it down by deliverable, by employee, by environment.
Outcome: Turn AI spend from one black-box number into a per-team, per-project, per-deliverable cost ledger that maps to your existing budget categories.
Vendor-lock-in insurance for AI strategy
For: CTOs evaluating multi-year AI vendor contracts
Scenario: IT considers switching from Claude to ChatGPT next year (or adding Gemini for one team). Without us: institutional AI memory built inside the current provider is lost. With us: every conversation is portable JSON owned by your org; switching providers is zero-rebuild.
Outcome: Eliminates vendor lock-in as a procurement risk. Negotiating power against Anthropic / OpenAI / Google increases at every renewal.
Deep dives
Move an AI conversation from Claude to ChatGPT without losing context
Alice spent 3 hours in Claude refining the Q3 forecast. Bob picks it up tomorrow but his license is for ChatGPT. Without GenZAgents: 30 minutes re-briefing. With: 90 seconds.
Stop losing AI institutional knowledge when employees leave
Sarah resigns 4 months into building the customer-onboarding playbook inside Claude. With GenZAgents, Tom inherits her agent + 4 months of receipts + memory snapshots on day 1.
Stop redundant AI work across teammates who can't see each other's chats
Maria asks Claude to draft a SOC 2 audit prep doc; org_context_lookup surfaces Carlos's May 3rd version. Maria saves a day. Eliminates 15-25% of AI work that's currently duplicated.
SOC 2 evidence pack for AI-assisted work
SOC 2 audit teams now ask about AI-assisted work. Most orgs say "we don't have an audit trail." GenZAgents auto-generates a SOC 2 evidence pack from receipts — CC6.1, CC7.1, CC7.2 covered.
EU AI Act §50 transparency evidence for AI-assisted work
EU AI Act §50 enters force August 2026. AI-generated content must be labelled and traceable. GenZAgents receipts are the labelling layer.
ISO/IEC 42001 evidence for AI management systems
ISO 42001 is the AI management system standard. GenZAgents provides the operational evidence for Clauses 6-10 — AI usage logs, risk treatment records, lifecycle controls.
EU Cyber Resilience Act — AI supply-chain evidence
The CRA requires evidence of secure-development practices including AI assistance in software. GenZAgents receipts provide the AI-side of CRA Article 13 evidence.
Per-team, per-project, per-provider AI cost attribution
AI invoices arrive as one terrifying line item. GenZAgents breaks it down by team, project, employee, and provider — the per-deliverable cost ledger your CFO has been asking for.
Preserve institutional AI memory across providers and turnover
Today's AI tools assume one chat per person, one provider per session. Institutional memory dies on turnover and switches. GenZAgents persists it across both.
Cryptographically transfer an AI agent identity from one person to another
Cryptographic countersign moves an agent's receipts, memory snapshots, and identity from departing employee to replacement. Atomic, signed, audited.
Detect anomalous AI usage in real time
Cost spikes, off-hours activity, atypical model use, receipt-count surges, signature failures. The 5-category anomaly detector runs every 5 minutes and routes alerts to Slack / PagerDuty.
Per-project ACL for AI agents and receipts
Project-scoped access control lets you keep sensitive AI work confidential while still benefiting from org-wide de-dup on non-sensitive work.
Continue an AI conversation across days, devices, and providers
restore_chat is the universal "pick up where you left off" tool. Across providers, across devices, across team members.
One AI agent identity across Cursor, Cline, Claude Code, and Windsurf
Senior engineers hop IDEs throughout the day. GenZAgents unifies the receipt feed across all of them — one agent DID, one project tag, one continuous timeline.
AI spend caps and budget controls without policy enforcement
Hard budget caps are clumsy; budget alerts with attribution are useful. GenZAgents alerts you before the spend gets out of hand, with the data to investigate.
Resolve AI-work disputes with a multi-LLM jury verdict
When a receipt is disputed, GenZAgents runs the work through up to 3 parallel jurors (Claude + GPT + Gemini). Majority verdict + dissent record. Auto-escalates to human if dissent is meaningful.
Pacts — pre-hoc behavioural commitments that are slashable on dispute
Pacts let agents commit upfront ("I will not use model X on this work"). The dispute resolution checks whether the pact held. Pact-honour rate becomes a public trust metric.
GDPR Article 22 + automated AI decisions — receipts as legal-basis evidence
GDPR Article 22 limits automated decisions affecting individuals. GenZAgents receipts evidence the human-supervised nature of AI-assisted decisions.
Replay any AI session from receipts for forensic review
When an incident happens, you need to know exactly what the AI did. Receipts let you replay tool calls, prompts, and responses with cryptographic certainty.
Buyer-side trust lookup for AI agents (D&B for agents)
Before paying an agent, buyers want to verify reputation, work history, and signed evidence of past delivery. GenZAgents is the trust lookup layer.
Don't see your use case?
Most enterprise AI pain ladders up to one of: continuity, attribution, or audit. Tell us yours.
hello@genzagents.io