One place for the team, the client, and the AI
Consulting work rarely belongs to one person. A colleague may research the market, a specialist may challenge an assumption, and the client may hold the detail that changes the recommendation. When each person uses a private AI account, that context fragments quickly.
Unium gives the engagement shared chats and projects that more than one person can join. Participants can see the same history, contribute in their own words, and continue the work without asking one person to relay every prompt.
Organise the engagement around projects
Create a project for a client, workstream, or decision. Related chats can draw on the same project context, and adding a collaborator to the project gives them access to its conversations according to their role.
That keeps discovery, analysis, drafting, and review connected without forcing every question into one enormous thread.
Use different models without splitting the record
Consultants often want different strengths at different stages. One model may be useful for structuring an interview guide, another for analysing a long document, and another for tightening a client-ready explanation.
In Unium, the next message can go to GPT, Claude, Gemini, or another available model while the shared conversation remains intact. The team compares approaches inside the work instead of copying material between provider tabs.
Give clients the right level of access
Invite a client as a viewer when they should follow the reasoning, or as an editor when they need to answer questions and shape the work. Chats remain private until an owner shares them, and unrelated engagements stay separate.
A shared client chat works well for a single decision. A project works better when several conversations need the same participants and background.
Pay for the shape of the engagement
Consulting demand is rarely flat. A discovery week may be busy, followed by a quieter period while the client reviews. Unium uses prepaid credits rather than a fixed subscription per participant, so the bill follows paid model usage.
The consulting team can use one shared wallet, apply monthly limits where needed, and see member usage. Chat access and wallet access remain separate, which means a client can join the work without automatically spending the consultancy's balance.
Keep responsibility with the consultant
AI can accelerate research, drafts, comparisons, and synthesis. It cannot validate every source, understand every client constraint, or own a recommendation. Review evidence, protect confidential information, and keep accountable professional judgement with the engagement team.