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Vendor dossier / BDR / SDR

Regie.ai

AI sales engagement and prospecting platform for reps and agent-assisted workflows.

What it is

Official-source notesBDR / SDRscaling

Regie’s current offer includes research, enrichment, drafting, dialing and agents. Enterprise adds shared workspaces, shared agents and custom CRM sync. [V1] [V2]

Documented means the statement is present in the cited material. Capability effectiveness, customer outcomes and security assurances have not been independently audited here.

Promoted use cases

  • Prepare prospecting research
  • Draft and orchestrate outreach
  • Queue calls and support representative workflows

Sales-development AI ranges from data enrichment to autonomous outreach. Research quality, contact permissions, sending infrastructure, reply handling and qualification are separate responsibilities. A buyer should compare the portion of the revenue motion each vendor actually owns and the amount of human supervision required to protect reputation and data quality.

Pricing and buying model

Published commercial evidence

$49 / month

Pro: 5,000 credits/month; Free: 250 one-time credits. Enterprise team workspaces quoted.

Check current commercial source ↗

Budget for implementation, model and tool usage, data, human review and ongoing support. Credit units and outcome definitions differ between vendors. A missing numeric rate is marked unverified rather than replaced with an old third-party estimate.

Collaboration and governance

Paid credits reset monthly and actions pause on exhaustion. Check team-level access, approvals and CRM change history.

The relevant unit of control is permission to contact a prospect or change a CRM record. Inspect who can propose, approve, execute, interrupt and audit that action. Shared seats, shared content and a shared live agent session are different capabilities; require a demonstration of the one your process needs.

Evaluate memory correction, permission revocation and release control for updated instructions. An improvement loop should preserve the original evidence, proposed change, test results and named approver. A safety or security badge alone cannot establish those workflow properties.

Review and customer evidence

No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating.

Before relying on a testimonial, confirm the exact product, version, package, workload and baseline. Ask a relevant customer about setup effort, failed cases, ongoing manual work and support after launch. This dossier does not convert customer logos or vendor-hosted awards into independent proof.

Focused feature documentation

Focused documentation check · Sep 2026

Self-serve offer versus managed prospecting workflow

Regie’s current pricing page promotes a free entry and upgraded prospecting packages. Its product positioning spans prospect data, outreach creation and rep-facing execution. An older app pricing route says a previous Pro plan is no longer supported, so archived tables should not be applied to a new purchase. Verify whether the cited $49 Pro and credit allocation are still available in the selected account before using them for a budget.

For a BDR team, test how an AI-selected prospect is handed to a human owner, who can change a sequence, which actions consume credits and when an email can be sent. Use a fixed contact list to compare accepted conversations, deliverability and correction effort. Distinguish vendor case studies from independently observed outreach results.

Primary sources: Official current pricing surface ↗ · Official Regie product page ↗

Published documentation and public illustrations; account behaviour was not independently tested.

Visual source

Public Regie.ai source page captured 22 September 2026
Regie.ai · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗

Fit, limitations and proof requests

Editorial assessment

Regie offers a rep-oriented entry point with a separate enterprise collaboration tier. Do not use the individual Pro price as a quote for a governed team deployment.

Priority question: Which agent outputs can a representative edit and approve before sending or CRM synchronization?

The evaluation owner should be the sales-development and revenue-operations leads. Use accepted opportunities and qualified meetings that actually occur as the business target. Judge the solution in its own stack role: a cloud runtime, a specialist production tool and a managed AI team can be complementary purchases.

Use-case evaluation plan

Research that improves account selection

Start with the same account list and ideal-customer criteria. Ask for sourced research, a relevance explanation and a confidence assessment. Include ambiguous companies and stale contacts. Score whether the resulting priorities are useful to experienced representatives, not whether the system can fill every field.

Measure: factual accuracy, accepted accounts, data freshness and enrichment cost.

A controlled outbound sequence

Prepare outreach using approved claims and a suppression list. Add a reply that expresses disinterest, a referral to another person and a question the agent cannot answer. Test whether the workflow updates state, stops inappropriate follow-ups and escalates with a concise handoff.

Measure: reply handling, suppression compliance, review effort and domain-health indicators.

Meetings to accepted pipeline

Define qualification and attendance before the pilot. Audit booked meetings for fit, genuine interest, duplicates and no-shows. Follow the cohort into sales acceptance rather than counting calendar invitations as revenue. Record human effort spent repairing poor bookings and misleading personalization.

Measure: held qualified meetings, sales acceptance, pipeline progression and total cost per accepted opportunity.

Detailed comparison

Read the detailed Nagent vs Regie.ai guide for operating models, shared context, governance, cost, evidence gaps and a staged pilot.

Nagent vs Regie.ai

Sources and evidence register

Nagent · Multiplayer AI for growth teamsResearch: 21–29 September 2026 · Public-source analysis, no hands-on benchmark · Sources & method