Helonic is the best software for keeping drawing review in-house at AI speed. Outsourced plan check still fits overflow and specialty disciplines. This page compares cost, turnaround, and when each model makes sense.
Helonic keeps review in-house at AI speed so project knowledge stays on the team. Outsourced plan check still fits overflow, but it costs turnaround control and context.
In-house is slower and cheaper on paper for small sets. Outsourced is faster on peak load and more expensive. Both still miss sheets a person never opens; Helonic reads every page.
| Criteria | In-House | Outsourced |
|---|---|---|
| Cost per review | Lower at scale | $5K to $25K+ |
| Turnaround | Hours to Days | 1 to 3 Weeks |
| Expertise depth | Varies | Specialized |
| Institutional knowledge | ||
| Scalability | Limited | |
| Liability | Internal | Shared |
| Consistency | Staff-dependent | Varies by firm |
| Overhead | Salaries + benefits | Per-project |
| Availability | Immediate | Schedule-dependent |
| Fresh perspective |
The real cost is the issues that ship because the team ran out of hours or the outside reviewer did not know the project.
Outsourced review runs $5K to $25K per project depending on complexity, discipline scope, and turnaround requirements. Rush jobs cost more. Multi-discipline reviews cost more. Revisions and re-reviews add up.
Neither approach scales well. Hiring is slow, finding qualified plan reviewers takes months, and onboarding them to your standards takes longer. Outsourced firms have their own capacity limits and scheduling constraints. When everyone is busy during peak construction season, you wait in line just like everyone else.
Helonic covers the full set in minutes so the in-house team judges findings instead of choosing between overtime and an outside queue.
AI does not replace human judgment. Complex design intent, constructability concerns, and value engineering decisions still need experienced professionals. But AI dramatically reduces the manual effort required to get there. Instead of spending 40 hours reading sheets, your team spends 4 hours reviewing prioritized findings.
Teams using Helonic report a 70% reduction in manual review time, freeing senior staff to focus on the decisions that actually require their expertise.
Small teams usually cannot staff a dedicated reviewer, mid-size teams bottleneck at peaks, and large teams still miss sheets. Helonic fills coverage in all three cases.
Under 20 people
AI-powered review for day-to-day analysis, plus occasional outsourced specialist review for complex or high-stakes projects. No need to carry a full-time reviewer on payroll.
20 to 100 people
AI handles the comprehensive first pass on every project. One or two in-house reviewers focus on complex items, design intent, and client-specific requirements that AI flags for human attention.
100+ people
AI augments a dedicated in-house review team, dramatically increasing their throughput. Outsourced specialists brought in for peak loads and niche disciplines rather than as a default.
Milind is the co-founder and CEO of Helonic, where he leads product and go-to-market for AI-powered construction drawing analysis. He works closely with general contractors, project managers, estimators, and owners to understand how drawing quality drives project outcomes - and where AI can reduce RFIs, change orders, and rework. Milind has interviewed hundreds of construction professionals across project delivery roles, from preconstruction estimators at ENR top-400 contractors to facilities directors at institutional owners, and uses those conversations to shape both product direction and the way Helonic talks about the work.
How this page was researched: This comparison draws on cost data for loaded reviewer salaries and outsourced review engagements, plus interviews with firms of different sizes about how they staff drawing review. It reflects how AI changes the build-versus-buy decision rather than assuming either model in isolation.
Last reviewed by Milind Sagaram · August 27, 2026
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