ParleHub
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For firms that bill by the client

Every hour has a client code. Your AI spend has none.

ParleHub gives every project a shared thread, its own budget, and your own expense code. AI cost lands on the engagement that caused it, and exports straight into the system you already bill from.

Project · Ashworth M&A ENG-4417
Can you check clause 4 of the vendor contract?
Clause 4 caps liability at 12 months' fees. Flagging for legal review
Project budget $620 / $1,000
Anthropic OpenAI Gemini Azure OpenAI SharePoint Google Drive Entra ID Google Workspace
Visibility

Your team is already using AI on client work

On personal accounts, with client documents, under terms nobody reviewed. You cannot say which clients, which files, or whose agreement covered it. That is also the honest answer to the AI section of every client security questionnaire you sign.

  • check_circle Access tied to Microsoft Entra ID, so offboarding actually removes it
  • check_circle Project files stay in your own SharePoint site, under per-site permissions, never leaving your tenant
  • check_circle Model calls run on your provider keys and your agreement, not a consumer account
  • check_circle Four levels of role, and projects only their members can see
Screenshot of ParleHub's organization model-provider settings, where each provider connects with your own API key; OpenAI is connected with its available models listed and a default selected
Screenshot of ParleHub's organization usage analytics: token spend and cost across projects over the last 30 days, shown as a per-project bar chart with filters and summary totals
Cost allocation

Timesheets for your AI agents

Your people book their hours to a client. Your AI books nothing. It arrives as one provider invoice with no client on it and lands in overhead, where the practices that barely touch AI quietly subsidise the ones that live on it.

  • check_circle A budget scoped to the project, not the person, because your people work across six of them
  • check_circle Your own project code on every project, carried through to the export
  • check_circle Spend and token usage broken down by project, person, provider, or model, over any range
  • check_circle One canonical token ledger behind both the report and the enforcement, so there is a single number

Every project carries your own expense code, straight through to the export. AI cost lands where every other cost already lands, so you can recharge it, price it into a fixed fee, or cut the engagement type that does not pay.

Control

Find out before the invoice, not after

Metered spend with no ceiling is the opposite of how a firm plans. One enthusiastic user, one runaway loop, and the number turns up at month end with an explanation attached to it.

  • check_circle Pre-flight enforcement blocks the send before it exceeds the project budget
  • check_circle An 80% warning state, so the team sees it coming
  • check_circle Personal and org-wide caps stacked as backstops above every project
  • check_circle Blocked? Request an increase in one click, routed straight to an admin

The ceiling becomes a number you set rather than a number you discover, and it does not stop the work, because there is a path through it.

Screenshot of a ParleHub project's Budget tab, showing 40% of a $1,000 budget used with spent/budget/remaining totals, a set-budget control, a platform-consumption billing-mode option, and a per-conversation spend breakdown with message counts
Screenshot of the ParleHub projects view, showing a team's shared projects and conversation threads visible to every member
Shared context

The best work your firm did last week is in a closed tab

Private chat histories mean context rebuilt from scratch at every client switch, by every person. Two people on the same engagement ask the same question a day apart, against different documents, and get different answers. When someone rolls off, what they worked out leaves with them.

  • check_circle Shared project threads every member can see, live
  • check_circle Presence indicators for who is viewing, typing, or waiting on a reply
  • check_circle Keyword and semantic search across every conversation in the project
  • check_circle Promote a personal chat into a shared project when it turns out to matter
  • check_circle Branch by editing and resending, without losing the original
Defensible work

When a partner asks where the number came from

Work nobody can review gets re-done by whoever has to sign it, at their rate. In regulated practice it cannot be used at all, so the engagement pays for the analysis twice: once quickly, once defensibly.

  • check_circle The whole exchange stays in the thread: the question, the reply, and which model produced it
  • check_circle Real tool calls against the project's own files, so the work is grounded in your documents
  • check_circle Exact find-and-replace and diffs, so a reviewer sees what changed, not a silent rewrite
  • check_circle Sensitive actions in an audit log enforced append-only at the database level

You still check the work. The difference is that there is something to check, instead of a paragraph that appeared from nowhere.

Screenshot of the ParleHub AI assistant reading and querying a spreadsheet file inside a project conversation
Governance

Built for the person who fills in the security questionnaire

Enterprise SSO, files that never leave your own tenant, and an audit trail that cannot be quietly edited.

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Enterprise SSO

Microsoft Entra ID & Google Workspace

folder_shared

Native storage

SharePoint & Google Drive, in your tenant

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Tamper-evident audit log

Append-only, enforced at the database level

admin_panel_settings

Role-based access

Org admin, project admin, and member roles

Capacity

Fixed headcount, variable demand

Three months a year, or every time a bid lands, you cannot take more work at any price. Leverage is the only capacity lever that does not require hiring.

description

Works the actual files

Search and read project documents, query spreadsheets, and convert PDF, Word, and PowerPoint to searchable markdown, as real tool calls. No code execution anywhere near your client data.

group_add

Ramp in a day

Someone joining an engagement reads the thread the team already built instead of rebuilding it. The context belongs to the project, not to whoever happened to open the chat.

hub

Every major model

Anthropic, OpenAI, Google Gemini, and Azure OpenAI on your own keys. Curate which models a project may use, and switch mid-chat without losing the thread.

Pricing

Free to start. Prove it on one engagement.

Free

$0

3 seats, 3 projects, bring your own keys up to $10/mo.

Team

Flat monthly

10 seats, 10 projects, SSO, unlimited BYOK spend.

Enterprise

Per seat

Unlimited seats & projects, private projects, SharePoint/Drive storage.

Put a client code on every dollar of AI your firm spends.

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