Consulting & advisory.
Diligence run end to end, research synthesised, proposals assembled. Partners bring judgement. Hive brings the rest.
What consulting teams run on Hive
- Commercial due diligence
- Data room red flags
- Request lists and Q&A logs
- Market research
- Expert-interview synthesis
- Operational DD findings
- Slide and deck drafting
- Data cleaning and analysis
- Proposal writing
- Knowledge capture
- Commercial due diligence
- Data room red flags
- Request lists and Q&A logs
- Market research
- Expert-interview synthesis
- Operational DD findings
- Slide and deck drafting
- Data cleaning and analysis
- Proposal writing
- Knowledge capture
Proposals out the same day.The bench always in view.
Autonomy is earned, not switched on.
Every use case starts on a rung you choose. Each approval teaches Hive the boundary. As approvals become routine, the work moves up a rung, within limits you set and can pull back at any time.
Connect your engagement data
CRM, documents and the bench in one governed workflow, from proposal to delivery.
Use case examples. A sample of the work Hive takes over. The full map is drawn with your team in week one.
Due diligence engagements drown in request lists, data-room Q&A and version chaos.
+Hive indexes the data room, maintains the request list and Q&A log, tracks findings by workstream, and drafts the daily status for the engagement lead and the client.
The management presentation and the data room say different things and nobody has time to reconcile them.
+Hive cross-checks the data room, the management presentation and the vendor DD against each other, flags every inconsistency with the source pages side by side, and drafts the questions for the next management session.
Commercial due diligence is three weeks of market sizing, expert calls and a model that is never quite tied out.
+Hive builds the market model from the desk research and expert calls, tests the target's plan against it, drafts the red-flag report by workstream and keeps every number traced to its source so the partner can defend it in the room.
Client data lands in twelve spreadsheets and nobody trusts the numbers in the deck.
+Hive cleans and reconciles the client data, builds the analysis, flags the inconsistencies for the team, and drafts the charts and the storyline with every number traceable to its source.
Every proposal starts from a blank page and a hunt for the last one like it.
+Hive drafts the proposal from the brief, pulls the right case studies and team bios, applies the firm's rates and structure, and hands the partner a version that only needs their voice.
Leads, contacts and follow-ups fall through the gaps between events, inboxes and HubSpot.
+Hive turns email threads, meeting invites, event badge scans and intros into clean HubSpot records, dedupes against what's there, drafts post-meeting and post-event follow-ups in the partner's voice, and nudges when a proposal has gone quiet.
Nobody can find the deck, the model or the person who did it last time.
+Hive keeps an operating memory across engagements: who worked on what, which frameworks were used, what the client said. Ask in Teams, get the answer with the source.
Scope creep is only spotted once the engagement is underwater.
+Hive watches logged hours and expenses against scope, flags accounts creeping over, drafts the change-order conversation, and assembles the invoice from time and milestones.
Thirty expert interviews and two hundred sources, and the synthesis is a weekend.
+Hive transcribes and codes every interview, extracts findings by hypothesis, cross-references them against the desk research, and drafts the synthesis with citations back to the source.
Partners can't see utilisation, pipeline and margin without a Friday spreadsheet.
+Hive maintains a live view of pipeline, utilisation, WIP and engagement margin, and briefs the partners on Monday.
Noted.
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