What AI for professional services firms includes
Aranv builds AI for professional services firms such as consultancies, engineering and architecture practices and advisory firms: proposal and statement of work drafts from past wins, search across project files and lessons learned, and time entry and billing support, with a partner or project lead approving all client-facing work.
Firms usually run a professional services automation (PSA) or ERP tool for projects, time and billing, a CRM for pursuits and a document system for deliverables. We add AI that reads from those systems with the same permissions staff have. Practice software beyond AI is covered on our legal and professional services software page.
Proposal work pairs AI proposal writing for narrative sections with AI RFP response for questionnaires and compliance matrices. Project knowledge search uses retrieval-augmented generation, so each answer links to the report or memo behind it.
How a proposal draft is assembled
From RFP to partner-reviewed proposal
- 01 RFP or brief read Scope, evaluation criteria, deadlines and required forms are listed for the bid team.
- 02 Past work retrieved Similar projects, team resumes and method statements are found in your files.
- 03 Sections drafted Approach, staffing and schedule sections are drafted with a source for each claim.
- 04 Partner reviews and prices The partner edits the approach, sets the fee and approves submission.
Fees, commitments and staffing promises are always set by a person.
AI for consulting and engineering firms
Firms sell expertise by the hour or the project, so time spent rewriting old material or chasing timesheets is margin lost. These four projects go after those hours.
Proposal and SOW drafts
Drafts proposals, statements of work and qualification packages from past winning bids, team resumes and project sheets, ready for the partner’s edit.
Project knowledge search
Staff ask what the firm learned on similar jobs and get answers from reports, lessons-learned logs and design notes, with links to the files.
Time entry assistant
Suggests time entries from calendar events, email and document activity, mapped to project and phase codes, which staff confirm before submitting.
Billing and WIP review
Compares work in progress with contract terms and budgets, drafts invoice narratives and flags overruns or unbilled time for the project manager.
Proposal drafting from past wins
Bid teams upload the RFP or client brief, and the tool lists scope, criteria, deadlines and forms. It then pulls similar projects, the right resumes and approved method text, and drafts each section with a note on its source. Partners edit the approach and set fees while the bid manager tracks what is left.
What we do
- RFP requirement checklist
- Matched project sheets and resumes
- Section drafts with sources
- Compliance matrix prefill
- Partner approval before submission
Confidential files and review rules
Professional firms hold client data under strict terms. The assistant inherits document permissions, respects information barriers between clients and logs each question and file it used. Nothing client-facing leaves without a named reviewer, and we draft the firm’s AI use rules with your risk or quality lead before rollout.
What we do
- Permission-aware search
- Information barriers between clients
- Query and source logs
- Named reviewer for deliverables
- Firm AI use policy draft
How we approach a project
Our wider team built an enterprise AI assistant for a UK business that brings CRM records, documents and proposal drafting into a single chat; it is Project 01 in our case studies. Project meetings can feed the same knowledge base through AI meeting summaries, once participants agree to recording.
Deliverables raise ownership questions. The U.S. Copyright Office has published a report on the copyrightability of material made with generative AI, so firms should decide how AI-assisted work is reviewed and disclosed under client contracts. This is general information, not legal advice. A managing partner or COO can arrange a 30-minute first discussion through the Aranv contact page form.
How we work
- Partners approve client-facing work
- Confidential files stay permission-bound
- Answers cite the project file
Our Process
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Gather the winning material
We collect recent proposals, resumes, project sheets and method statements, and mark the ones partners trust.
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Map permissions by client
Information barriers and client confidentiality terms decide which files each user, and the AI, may read.
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Test on a recent bid
The tool drafts a proposal for a bid you already submitted, and the bid team scores it.
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Roll out by practice
One practice or office goes first, then others join with their own templates and libraries.
Why firms work with Aranv
Built on your best work
Drafts come from proposals and project sheets your partners approve, so new bids reflect the firm’s real experience and language.
Permissions follow the file
The assistant sees only what the person asking may see, which keeps client confidentiality and information barriers intact.
Billable time handled carefully
Time suggestions always wait for staff confirmation, and billing reviews flag issues for project managers instead of changing invoices.
Connected to PSA and CRM
We work with your project, time, billing and pursuit systems, so the AI reads current data rather than stale exports.
Planning AI for Professional Services Firms?
Book a 30-minute conversation with the team that would build it.
Professional services AI FAQs
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How can AI help a consulting firm with proposals?
By cutting the time spent assembling material. The tool finds similar past projects, matching resumes and approved method text, then drafts sections against the RFP’s criteria with sources noted. Partners spend their time on the approach, the team and the fee.
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Is AI useful for engineering firms?
Yes, mostly around the engineering rather than in it. Engineering firms use AI for proposals and qualification packages, searching past project reports and specifications, drafting meeting minutes and checking time and billing. Design calculations and sealed documents stay with licensed engineers.
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How do you protect client confidentiality?
The AI reads files with the same permissions as the person asking, so information barriers and client restrictions still apply. We use model providers that do not train on business customer data, keep documents in your cloud tenancy where possible and log every query and source.
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Can AI fill in timesheets for our staff?
It can suggest entries from calendar events, email and file activity, mapped to project and phase codes. Staff confirm or edit each suggestion before submitting, because billable time is a commitment to the client. The aim is fewer missing entries at period end, without guessing on anyone’s behalf.
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Who owns deliverables created with AI help?
Your contract with the client sets ownership between you, and copyright law has open questions about material produced mostly by AI. We recommend meaningful human authorship, a clear disclosure policy and a review of client contract terms. This is general information, not legal advice.
Let’s talk about your next step
Contact Aranv to discuss your workflow, current tools, and goals. Meet with our team or send an inquiry.
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