Prepare the source pack
Choose the proposal kind and supply the buyer brief, approved evidence, delivery assumptions and commercial terms. For RFP work, retain the issued requirements and separate known answers from missing evidence.
Start with the RFP, meeting notes, deck, or account context you already have. Gixo Arc works as an AI business proposal generator that shapes that material into a draft you can review, improve with your team, and export in the format you need.
An AI proposal generator turns source material you already have — an RFP, notes, a deck, or account context — into a structured first draft, rather than starting from a blank page or a fixed template. Gixo Arc drafts reviewable proposal first drafts from the briefs, RFPs, scopes, case studies, pricing notes, and other source files you provide. Gixo's version (Arc) reads uploaded files, applies one of 21 proposal-type structures, and produces a reviewable draft you can edit inline, review with a team, and export as PDF, DOCX, or HTML. It is built for messy, file-based input rather than fill-in-the-blank forms. It includes simple electronic signature, with the signed proposal available as a PDF with an audit certificate, and it is not a replacement for CRM or full proposal-ops platforms.
Read a real exported proposal alongside the brief Arc received. The example keeps supplied scope, commercial assumptions and reviewer responsibility visible.
A ten-week advisory engagement for an invented housing association: situation, approach and phases, a requirement-by-requirement compliance matrix, deliverables, timeline, team, terms, and a fee built phase by phase from the bidder's day rates, with the days of each role shown.
Propose a ten-week advisory engagement for Harbourside Housing Association, on behalf of Larkfield Analytics Ltd, that answers the association's brief: review the current repairs survey, recommend how to measure repairs satisfaction by contractor, and leave a reporting approach for the repairs team and the board. Build the fee for each phase from the standard rates in the evidence file (the days of each role times the day rate) and show those days. Add nothing the evidence file does not state. Put a notice on the cover page that the buyer and the bidder are fictional and the proposal is a worked example. Inputs: the buyer's document (brief-harbourside-housing.md); the bidder's evidence file (larkfield-evidence.md); commercial terms: value 46,000 to 52,000 GBP, valid for 60 days, payment terms 'Invoiced monthly in arrears, payable within 30 days.'; deal context: The buyer and the bidder in this proposal are fictional, and this proposal is a worked example. The engagement lead presents to the buyer's board in the ninth week.
A separate reviewer agent read its 177 claims against the bidder's evidence file, the buyer's brief and the deal terms: 115 are supported, 58 add design detail or an inference, 4 are in no input (it calls the fee fixed) and none contradicts one. Every price line recomputes. It is not a person's review.
Choose the proposal kind and supply the buyer brief, approved evidence, delivery assumptions and commercial terms. For RFP work, retain the issued requirements and separate known answers from missing evidence.
Inspect scope, exclusions, requirements and price assumptions. Use reviewable edits and saved comparisons; an unresolved buyer question needs an owner or an explicit qualification.
Inspect the actual PDF, Word or HTML output. Tracked delivery activity and a recorded deal outcome answer different questions; verify the recipient, permissions and current approval state before sharing.
Keep buyer RFP files separate from bidder evidence and approved reusable answers. Inspect extraction coverage, requirement source locations, questionnaire previews and submission limits. Response work can carry an SME owner, due date, escalation owner and required reviewer decisions. Compare an addendum with the source before changing a response.
Review each line's quantity, rate, unit, optional status and one-off, monthly or annual recurrence. Inspect recurrence totals and the estimated first-year total separately. Currency, supplied tax input and commercial assumptions need review. When importing Business metrics, select and review the source values before applying them to the schedule.
Choose the current saved response or an approved edition. Inspect retained attachments, filled questionnaires, the compliance matrix and the package preview. A release manifest identifies stored delivery bytes. For tracked links, review recipient access, expiry, password and permissions separately from delivery activity and the recorded opportunity outcome.
A draft or readiness check is not approval of pricing, legal terms or a delivery commitment. Arc proposal drafting does not imply CRM, CPQ or tax-calculation automation.
Try a prepared Arc task
Use a small client request to draft an approach, milestones and open commercial decisions. Keep unsupported commitments visible until a named reviewer approves them.
Fictional, hand-authored example. The source and preview below are illustrative; they are not customer work, a generated result, or an approved deliverable.
FICTIONAL CLIENT BRIEF — illustrative inputs, not customer work. Client: Harbor Studio, a fictional design agency with six team members. Request: document a consistent onboarding process for new client projects. Supplied scope: interview the project lead, map the current handoff, draft one onboarding checklist, and run a review workshop. Planning assumption: four weeks; the client must confirm the dates and reviewer availability. Deliverables: process map, checklist draft and one review workshop. Out of scope: CRM implementation, legal advice and ongoing operations. Budget, fees, payment terms and named delivery team: not supplied; leave open for approval. Acceptance: the client lead reviews whether owners, inputs and handoffs are clear. No quantified business outcome is promised.
Interview the project lead, map the existing handoff and prepare an onboarding checklist for review. CRM implementation and ongoing operations stay outside this proposed scope.
Confirm workshop participants and dates. Ask the delivery owner to approve scope and capacity, and the commercial owner to supply fees and payment terms before sending.
The example loads the input; you choose when to plan or generate. Current sign-in, product access, usage and export requirements apply. Review any output before use.
| Capability | Gixo AI | Template Tools | Manual Drafting |
|---|---|---|---|
| Time to first draft | Reviewable draft faster | Hours (fill-in-the-blank) | Manual drafting cycle |
| Source file intake | OCR + multi-format | Copy-paste only | Manual reading |
| Section structure | Proposal-type structure (21 types) | Fixed templates | Manual outline |
| Tone adaptation | Configurable per deal | Static | Writer-dependent |
| Inline AI editing | Rewrite / expand / simplify | No | N/A |
| Team editing | Shared team drafts + comments | Varies | Email rounds |
| Export formats | PDF / DOCX / HTML | Yes (varies) | Yes |
| E-signatures | Simple electronic signature, signed PDF with audit certificate | Some tools | N/A |
| CRM sync | No self-serve CRM sync | Some tools | N/A |
Choose the proposal type, add the RFP, brief, notes, or prior work, then review a structured first draft before it reaches a client.
Arc organizes the same saved proposal into Draft, Review and Deliver: answer the requirements, resolve evidence and specialist decisions, then inspect the exact buyer files before an approved release. Changing task does not approve the proposal.
Draft: Work through the RFP response matrix with a response owner, reviewer, due date, source evidence and buyer answer limits. The focused editor supports formatting and a comparison with the saved answer. Ask Arc drafts or refines one selected requirement against the saved opportunity strategy and approved supplier facts. Review the suggestion before applying it; changes to the saved context require another review. Active Arc generation access is required, with no per-run deduction on this action. Applying a suggestion reopens evidence review.
Review: Arc lets a reviewer select a literal source passage and retains its source version and location. Source examination receipts show read, failed and limit-reached ranges. A verified passage proves literal occurrence, not correct interpretation or supplier compliance, and examined ranges do not prove that every requirement was discovered. Specialist reviewers still confirm scope, figures, legal terms and security promises against the complete source pack.
Deliver: Inspect the submission preflight and buyer questionnaire mappings. An approved release requires the applicable decisions to cover the current revision. A direct questionnaire export may include unapproved answers, so inspect the file before submitting it yourself.
Follow the Arc workspace guide or inspect the proposal review controls.
Inspect current Arc response editing, Ask instructions, saved comparisons and release controls in dated captures from a fictional proposal.
Proposal automation is the use of structured source material, repeatable proposal types, AI-assisted drafting, team review, and document export to reduce the repetitive work between an opportunity brief and a finished proposal.
A proposal is not just another generated document. It is a buyer-specific argument that connects a stated problem to a recommended approach, scope, evidence, commercial assumptions, and next step. Useful proposal writing software preserves that logic instead of filling a generic template with product descriptions.
The strongest use of AI proposal software is the source-to-draft stage: organizing messy files, applying an appropriate structure, drafting connected sections, and helping reviewers improve weak passages. Strategy, pricing, delivery capacity, legal language, security commitments, customer facts, and final approval remain accountable human decisions.
This distinction matters when comparing business proposal software. Some proposal management software covers CRM synchronization, workflow routing, e-signature, engagement analytics, and a maintained content library. Arc focuses on creating and improving a grounded proposal draft from the material your team supplies; it does not claim to replace those broader proposal-operations systems.
This works best when your material is spread across files and notes and you need a strong starting point faster than a blank document gives you.
Bring in RFPs, notes, decks, spreadsheets, and reference files so the draft starts from real deal context.
Pick from 21 proposal types so the draft starts with the right structure for the situation.
Gixo lays out the draft with the sections buyers and approvers usually expect, so you are not building the frame yourself.
Adjust the voice for formal procurement, consulting work, partnerships, or sales conversations without rewriting everything yourself.
Keep review and comments in the same workspace instead of juggling separate files and email threads.
Send out PDF, DOCX, or HTML versions without rebuilding the content in another editor.
Tighten, expand, or simplify individual sections without blowing away the rest of the draft.
The proposal starts from the files you uploaded, not just from a short prompt and generic filler.
When the buyer issues a structured questionnaire as an XLSX or DOCX file, Arc deterministically writes the answers from your response workspace into a copy of that file, leaving the file you uploaded unchanged and preserving the workbook formulas, styles, and layout as well as Word content controls and response-table cells. A direct export writes each answered requirement whatever its review status; only an approved release requires every answered active requirement to be approved first. A preflight previews every target before writing and blocks on protected sheets, formula cells, merged cells, dropdown values the buyer does not allow, missing required or scored answers, and conflicting requirements, so a person still runs the final check and submits.
Arc runs proposal review as governed team execution: each requirement can carry a response owner, a reviewer, a due date, and a workflow status, and subject-matter-expert, security, legal, commercial, and executive review gates track who must approve, their decision, and when. A deterministic workload view surfaces open, due-soon, overdue, and escalation tasks under a team capacity policy, with reviewer reminders. Your organization still owns every approval.
Arc creates recipient-specific tracked view-only or view-and-download links. You can send the link directly by email from Gixo or copy it to send yourself, and receive alerts when buyers view, download, ask questions, or accept; Arc does not submit the proposal to a procurement portal.
The goal is a strong first draft you can improve quickly, not a rough outline that still needs a full rewrite.
A practical proposal automation workflow starts before generation and keeps human review after it.
Define the buyer, opportunity, desired outcome, known requirements, decision process, deadline, contributors, assumptions, and risks before drafting begins.
Collect the RFP, discovery notes, prior deck, scope details, approved service descriptions, case studies, team information, and commercial assumptions tied to the deal.
Select the Arc proposal type that fits the opportunity so the outline reflects the buyer's decision rather than the seller's organization chart.
Arc reads the uploaded context and drafts connected sections such as the executive summary, buyer context, approach, scope, timeline, evidence, assumptions, and next steps.
Confirm requirements coverage, facts, proof, prices, scope boundaries, delivery dates, legal terms, security statements, and every customer-specific commitment.
Use inline AI and team review to tighten weak sections, then export the approved proposal as PDF, DOCX, or HTML for your normal delivery process.
See how Gixo's source-first proposal generation compares to template tools and manual drafting.
| Capability | Gixo AI | Template Tools | Manual Drafting |
|---|---|---|---|
| Time to first draft | Reviewable draft faster | Hours (fill-in-the-blank) | Manual drafting cycle |
| Source file intake | OCR + multi-format | Copy-paste only | Manual reading |
| Section structure | Proposal-type structure | Fixed templates | Manual outline |
| Tone adaptation | Configurable per deal | Static | Writer-dependent |
| Context-aware content | Reads your files | Generic fill-ins | Manual research |
| Inline AI editing | Rewrite / expand / simplify | No | N/A |
| Team editing | Shared team drafts + comments | Varies | Email rounds |
| PDF / DOCX export | Yes | Yes | Yes |
| Buyer questionnaire round-trip | Answers written into a copy of the XLSX / DOCX | Usually copy-paste | Manual |
| Review gates | Owners, due dates, decisions | Varies | Email rounds |
| Tracked delivery links | Email from Gixo, or copy and send | Some tools | Email attachment |
| CRM sync | No self-serve CRM sync | Some tools | N/A |
| Best for | Strong first drafts from messy input | Standardized repeatable proposals | Highly custom engagements |
An automated proposal generator can organize and draft what you provide, but it should not invent the information the deal is missing.
Buyer and opportunity context: explain the current situation, desired outcome, decision criteria, stakeholders, deadline, and what happens if the buyer does nothing.
Response requirements: identify mandatory questions, requested sections, format rules, commercial instructions, attachments, and evaluation criteria. For a formal RFP, maintain a separate requirements matrix and validate it outside the generated narrative.
Approved proof: supply relevant case studies, capability descriptions, team biographies, implementation methods, and technical answers. Old proposals may contain stale claims, expired credentials, former employees, or customer-specific concessions, so validate reusable material before uploading it.
Boundaries and assumptions: state what is included, excluded, dependent on discovery, or subject to approval. When facts are unknown, identify the gap instead of asking an AI business proposal writer to make the draft sound complete.
Named reviewers: assign owners for solution feasibility, pricing, delivery, legal terms, security, and the final client-facing version. AI can improve the draft, but it cannot accept commercial or professional responsibility.
A B2B sales team finishes discovery with meeting notes, a short requirements list, a product deck, two relevant case studies, an implementation outline, and draft pricing assumptions. In a manual process, a seller may copy fragments into an old document and ask subject-matter experts to repair the result near the deadline.
With sales proposal automation software, the team can upload the approved material, choose a sales proposal structure, and create a first draft organized around the buyer's problem, desired outcomes, recommended approach, delivery plan, evidence, assumptions, and next step. Reviewers then correct the commitments that belong to their functions instead of rebuilding the whole document.
The benefit is not automatic selling or a guaranteed win rate. It is less blank-page work, a clearer relationship between source material and draft sections, and a more consistent review process. That is the practical value an automated proposal software workflow should provide.
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