Engineering Firms 90-day fee/work pause

AI Proposal Writer for Engineering Firms

Takes over routine work of: Engineering Fee Proposal Specialist

See which routine proposal writer work AI can take over, while your team keeps the judgment calls.

01 Setup + retainer Fixed-price setup plus a monthly retainer
02 90 days Fee/work pause on agreed SOW metrics
03 20 min Assessment estimates the figures for your roles
The problem

Why Engineering Firms Are Switching to AI

These aren't edge cases. They're the daily reality that's bleeding your margins.

01

Proposal Win Rates Create Massive Sunk Costs

With 20-30% win rates, 70-80% of bid efforts are wasted.

02

Regulatory Permit Applications Drain Engineering Hours

03

Manual Schedule Maintenance Diverts PM Focus

Project managers spend 4-6 hours weekly maintaining MS Project or Primavera schedules across 50-100 active projects instead of performing high-value technical work.

04

Multi-Discipline Clash Detection Coordination Delays

Task analysis

What AI Handles vs. What Stays Human

AI takes the repetitive load. Your team focuses on judgment calls and relationships.

Gather historical project data and benchmark pricing

AI scrapes past winning proposals from Deltek, CMiC, and project archives to extract comparable scope, site conditions, and pricing baselines

~12-16 hours per proposal (illustrative)

Generate preliminary fee calculations

AI applies historical cost models, labor rates by discipline, and markup formulas to produce first-draft fee breakdowns matching firm pricing standards

~8-12 hours per proposal (illustrative)

Compile regulatory permit requirement checklists

AI analyzes project scope against USACE, EPA Section 404/401, DOT, and state PE requirements to auto-generate permit checklists and timeline estimates

~6-10 hours per major permit (illustrative)

Create proposal narrative and scope descriptions

AI generates technical approach sections, methodology narratives, and project understanding content from project briefs and past successful proposals

~10-15 hours per proposal (illustrative)

Build project schedule milestones for proposals

AI creates proposed timelines, phase durations, and milestone dates based on similar completed projects in the firm's database

~4-6 hours per proposal (illustrative)

Format proposal documents to client specifications

AI applies firm branding, arranges sections per RFQ/RFP requirements, and generates professional PDF packages ready for principal review

~3-5 hours per proposal (illustrative)

Track and update proposal pipeline status

AI monitors proposal progress, deadlines, and follow-up requirements across all active opportunities, alerting PMs to critical dates

Hands off ~5-8 hours/week (illustrative)
Workflow comparison

Before & After AI

The same process. Night-and-day difference.

Before — manual
01
Request project scope documents from PM
2-4 hours to collect and distribute·PMs often delayed responding; information gaps cause rework later
02
Manually search for comparable past projects
4-8 hours per proposal·Inconsistent searchable records; much institutional knowledge lost with departures
03
Build fee estimate from scratch in spreadsheet
8-12 hours per proposal·Each proposal requires rebuilding calculations; errors common across multiple estimates
04
Write technical approach narrative
6-10 hours per proposal·Senior engineers dislike this task; quality varies significantly between proposals
05
Format and assemble proposal package
4-6 hours per proposal·Manual formatting errors; inconsistent branding across opportunities
06
Track pipeline in spreadsheets
5-8 hours weekly·Multiple disconnected tracking systems; status often outdated
After — handed to AI
01
Input project parameters into AI system
30 minutes·AI auto-pulls available data from initial RFQ/RFP and firm records
02
AI generates complete first-draft proposal
2-4 hours·Comprehensive draft includes fee estimate, narrative, schedule, and checklist in one pass
03
Senior engineer reviews and refines AI draft
3-5 hours·Review focuses on strategic additions and technical accuracy rather than creation
04
Principal adds strategic positioning and pricing
1-2 hours·High-value input only; administrative drafting eliminated
05
AI formats and performs final QC
30 minutes·Consistent formatting, branding, and compliance checks automatic
06
AI monitors and alerts on pipeline dates
Automated daily·Real-time tracking with proactive alerts; no manual updates needed
Implementation

How We Deploy

From signed contract to live AI workforce. No long IT projects. No dragging it out.

Phase 1

Assessment and Data Integration

Audit existing proposal templates, historical project data in Deltek/CMiC, and pricing databases. Connect AI to firm document management systems and establish baseline pricing models.

FAQ

Common Questions

Real objections from Engineering Firms owners considering AI AI Proposal Writer.

01Will AI handle our firm's specific pricing formulas and markups?

Yes, AI systems can be configured with your firm's specific labor rates by discipline, overhead multipliers, profit margins, and markup formulas for subconsultants, equipment, and expenses.

02How does AI integrate with our existing Deltek or CMiC system?

Most AI proposal tools integrate via API or data import/export with common engineering firm ERP systems like Deltek Vision, CMiC, and Foundation, pulling historical project data while outputting completed proposals back to your system.

03What happens to our current proposal specialist?

Rather than eliminating the role, firms typically transition the proposal specialist to a higher-value position focused on strategic pursuits, client presentations, and complex exception handling, while AI handles the administrative heavy lifting.

04Can AI produce proposals that meet specific client RFQ/RFP formatting requirements?

Yes, AI can be trained on your clients' specific formatting requirements and will automatically arrange sections, apply branding, and generate documents in the required formats for each submission.

05How is an AI proposal writer priced?

Leverwork prices each deployment as a fixed-price setup plus a monthly retainer, scoped on a 20-minute call. The 90-day fee/work pause applies to the metrics agreed in your SOW. Your 20-minute assessment estimates the figures for your roles.

Still have questions? We'll answer them directly.

Talk to an expert

Same industryOther roles we support in Engineering Firms

Other industriesThis Role in Other Industries

Put AI to work. Keep your people leading.

A full-time AP / bookkeeping seat costs about $68K–$74K a year in wages and benefits (our estimate from BLS 2025/2026 data). Your assessment estimates the numbers for your business. 90-day fee/work pause on agreed SOW metrics

A 20-minute call. We'll show you which seats AI can take over — and where humans stay essential.

Book the 20 minutes