Fieldguide vs Alloy.ai

Detailed side-by-side comparison to help you choose the right tool

Fieldguide

Business

AI-native platform designed for audit and advisory services, providing intelligent tools for professional accounting and compliance workflows.

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Starting Price

Custom

Business

Demand and inventory control tower for consumer brands providing insights and analytics.

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Starting Price

Custom

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Feature	Fieldguide	Alloy.ai
Category	Business	Business
Pricing Plans	10 tiers	10 tiers
Starting Price
Key Features	• AI-powered engagement management for audit and advisory • Automated PBC (provided-by-client) request workflows • AI evidence matching against control frameworks (SOC, ISO, PCI, NIST)	• Retailer POS data integration • Inventory visibility across warehouses and retail • Lost sales insights

✓Purpose-built for audit methodology rather than a generic AI assistant retrofitted for accounting workflows
✓Backed by $47M+ in venture funding from top firms like Bessemer Venture Partners, signaling long-term platform stability
✓Supports multiple compliance frameworks out of the box including SOC 1/2, ISO 27001, PCI DSS, HIPAA, and NIST CSF
✓AI agents materially reduce time spent on PBC chasing and evidence matching, the largest realization drag in audit engagements
✓SOC 2 Type II compliant with role-based access controls suitable for regulated firms and Big 4 alumni-led practices
✓Used by leading mid-market and Top 100 CPA firms, validating fit for high-volume professional services environments

✗Pricing is enterprise-only with no public tiers, making it difficult for small firms to evaluate without a sales conversation
✗No self-serve free tier or trial visible on the website, raising the barrier to entry for solo practitioners
✗Narrowly focused on audit and advisory — not suitable for tax, bookkeeping, or general accounting workflows
✗Onboarding requires meaningful change management since it replaces or supplements legacy tools like CaseWare or TeamMate
✗AI outputs in regulated audit contexts still require senior-level review, so time savings concentrate in junior/manager hours

✓Pre-built integrations with 100+ retailers, 3PLs, distributors, and ERPs eliminate the need to build custom data pipelines
✓CPG-specific data model harmonizes messy retailer data (Walmart Retail Link, Target Partners Online, Amazon Vendor Central) into a consistent schema
✓Acts as both a native analytics app (Lens) and a data platform that feeds Snowflake, Databricks, Tableau, and Power BI
✓Serves multiple teams (sales, supply chain, C-suite, IT) from the same underlying data, reducing internal data silos
✓AI-driven lost sales and out-of-stock insights help recover revenue that would otherwise go unnoticed
✓Industry-specific use cases (Target replenishment, excess retail inventory, promotion lift) are pre-configured rather than requiring custom builds

✗Enterprise-only pricing with no public tiers makes it inaccessible to small brands or those evaluating on a budget
✗Narrowly focused on consumer goods brands selling through retailers — not useful for DTC-only or non-CPG businesses
✗Requires meaningful data volume and retailer relationships to justify the investment
✗Implementation and onboarding typically require IT and analytics involvement rather than being truly self-serve
✗Website does not disclose specific customer counts, ROI benchmarks, or pricing ranges, making vendor comparison difficult

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