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Lavora maps how work really happens across your people, tools and AI. See what's working, fix what isn't, and give your agents the context they need.

Client requestAssociateClaudeContract draftPartner reviewClient approvalCustomer inquirySupport agentKnowledge baseResolutionCustomer outcomeEmployeeAI toolTask completionBusiness outcomeEEmailCommercial legalPrior matter #0987DDocument systemClause playbookPartnerCCRMHHelpdeskSupport teamTriage agentEscalate?SSlackOperations
  1. Client request→
  2. Associate→
  3. Claude→
  4. Contract draft→
  5. Partner review→
  6. Client approval

For companies

Pouring money into AI with no way to tell if it pays off? Prompt counts and seat licences don't show whether work is getting faster, better or cheaper.

Lavora links AI usage to the work it touches, so for the first time you can see where it saves time, where it creates rework, and what each workflow gains.

Where AI is paying off, and where it isn't

Jul–Sep · 2,180 cases where AI was used

AI spend

£0

usage attributed to workflows

Human time

0h

−37%across all cases

Review & rework cost

£0

+38%senior review + rework

Net value

£0

time value avoided − AI spend

Time per case by workflow

  • Drafting & prep
  • Senior review
  • Rework
  • Baseline
  • 5.1h→2.6h per case

    Positive
    on time
    92%
    rework
    8%
  • 8.2h→5.8h per case

    Mixed
    on time
    78%
    rework
    24%
  • 0.4h→0.3h per case

    Positive
    on time
    93%
    rework
    6%

Contract first drafts. Drafts arrive 4 hours sooner, but partners spend 60% longer reviewing them and rework doubles.

For companies

Buying the same AI credits for everyone? Light users leave theirs unused, while your most productive people hit the limit halfway through the month.

Lavora reallocates credits as usage changes. Less usage gets fewer credits, effective usage gets more. More gets done without spending more.

£9,000/ month

£6,000£14,000

Equal split = £90 per person

Total budget
£9,000
same in both
Credit used
£0
67% of budget
Idle capacity
£0
paid for, unused
Capped demand
£0
3 workflows at cap
Projected additional value
+£0/ month if optimized

Credit by workflow · each square = £50

  • Used
  • Allocated, idle
  • Demand over cap
  • Contract drafting

    Legal · 14 people · £90/person

    At cap
  • Client research

    Advisory · 12 people · £90/person

    At cap
  • Support triage

    Service · 18 people · £90/person

    At cap
  • Finance reconciliation

    Finance · 10 people · £90/person

    83% used
  • Internal comms

    People · 16 people · £90/person

    44% used
  • Admin operations

    Operations · 30 people · £90/person

    24% used

For employees

Not sure how something gets done? The know-how is spread across people, old documents and threads you were never in, so every new task starts with asking around.

Devin lets engineers ask questions about their code. Lavora lets everyone ask about the rest of their work: the steps, who owns them, and what's holding things up.

Corvane · Enterprise client onboarding

ClientOperationsComplianceAI & systemsClientportal uploadCollectdocumentationCase systemIdentity &compliance checksScreeningKYC assistantdrafts evidence packSubmit forreviewCase systemRequiredapprovalApproval logOnboardingPolicy v4.2§3 thresholdsActivateaccountCore bankingCBCore banking

Swipe to follow the route →

recordedinferredto validatewaiting

Ask Lavora

grounded in the work graph

How do I onboard a new enterprise client?

    Sample questions

    For agents

    Is your data too messy for agents to do useful work? It's scattered, out of date and duplicated, so agents pull the wrong document and give answers nobody trusts.

    Plug in the systems you already use. Lavora turns them into clean, structured data that keeps itself up to date, so your agents give more accurate answers.

    Agent task

    “What's blocking Case 1182, and what should happen next?”

    Connected systems · 8 sources

    • CRCRMApplication A-1182 · business account
    • CSCase systemCase 1182 · 6 of 9 documents
    • EMEmail“Please resend the ownership chart”no case link
    • #Slack#ops-onboarding · thread, 12 Sepduplicate
    • SPSharePointOnboarding Policy v4.2
    • SPSharePointOnboarding Policy v2 (2023)superseded
    • SCScreeningPossible match · to review
    • SPSharePointTravel & expenses policy §4off-topic

    Keyword / vector search

    Flat search index · 12,480 chunks
    ranked by similarity, no relationships

    Onboarding assistant

    receives context

    retrieved_chunks · 14

    • Onboarding Policy v2 (2023) §5superseded
    • #ops-onboarding · Aug thread copyduplicate
    • Travel & expenses policy §4off-topic
    • “Please resend the ownership chart”no case link
    • + 10 more chunks

    Onboarding usually requires documents and an approval. The current status of this case is unclear, it may be waiting on documentation.

    • Cites a superseded policy
    • Can't identify the owner or blocker
    • No safe next step proposed

    Context items passed to the agent

    0

    flat retrieval

    Items traceable to a source record

    0%

    flat retrieval

    Stale or superseded items

    0

    flat retrieval

    Items checked against permissions

    0%

    flat retrieval

    Design partners

    We're working closely with a small group of teams to understand how their work really happens, and building Lavora around what we learn.

    Early access

    Join the early access list. We'll send the occasional update and invite you to try Lavora when it's ready.

    Primary interest (optional)

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