What Checkfirst changed

• Added a new section in the FAQ explaining a "data readiness check" that identifies missing or inconsistent data before planning begins.
• Added text clarifying how the system handles audits it cannot place (it holds them back with a reason rather than guessing).
• Updated market positioning from "Europe and the Americas" to "worldwide."
• Renamed the FAQ header from "Straight answers" to "What you'd ask on a first call."
• Updated the case studies link from /resources/ to /results/.

Checkfirst is addressing a major sales friction point: messy customer data. By offering a "data readiness check" before a demo, they lower the barrier for prospects who worry their spreadsheets aren't ready for AI. They are also signaling a shift from a regional focus to a "worldwide" market presence.

• Introduced "Ready-made agents" that handle specific tasks like rescheduling refused audits or shifting work from subcontractors to internal staff.
• Changed pricing from undisclosed to a "per scheduled day" model (one fee per auditor per day) plus an annual platform fee.
• Added a "Savings Calculator" to help prospects estimate ROI based on planning time, travel, and subcontractor costs.
• Shifted messaging to focus heavily on specific certification standards (ISO 9001, BRCGS, IFS) and accreditation bodies.
• Added a structured four-step onboarding process: Custom Demo (Free), Scoping (Fixed Fee), Pilot (8 weeks), and Go Live.
• Introduced a "Product Tour" and "Executive Brief" to capture leads at different stages of the funnel.

Checkfirst has shifted from a general AI scheduling tool to a specialized platform for certification bodies. They introduced "AI Agents" to automate repetitive tasks and moved to a "per scheduled day" pricing model, which directly targets the operational costs of large audit firms.

• Lowered "Lower subcontractor cost" impact from 4% to 1%.
• Lowered "Better internal resource efficiency" impact from 1% to 0%.
• Lowered "Less travel time" impact from 2% to 0%.

The competitor has significantly reduced the reported efficiency gains on their homepage. This could indicate a shift to more conservative, realistic data or a correction of previously exaggerated claims.