Written by: Nimesh Chakravarthi, Co-founder & CTO, Struct | Last updated: June 29, 2026
Key Takeaways for 2026 On-Call Automation Buyers
- Resolve AI uses an opaque, consumption-based pricing model sold through enterprise sales, with no public dollar figures or tier limits.
- Struct publishes three clear tiers—Startup (30 investigations/mo), Growth (200 investigations/mo, unlimited users), and Enterprise—with fixed costs and no surprise overages.
- Struct deploys in minutes through Slack, GitHub, and observability integrations, while Resolve typically requires weeks of enterprise procurement and onboarding.
- Real-world teams report an 80% reduction in triage time and an 85–90% helpful investigation rate after switching to Struct, which lets junior engineers handle on-call confidently.
- Start a 30-day risk-free Struct pilot and cut investigation time from 45 minutes to under 5 minutes.
Resolve AI Pricing Breakdown for Engineering Teams
Resolve.ai publishes a pricing page that contains a contact form for enterprise plans rather than listed prices. Pricing appears only through a sales engagement, and AWS Marketplace listings show placeholder contract structures without dollar amounts. The table below compares what is publicly known about Resolve against Struct’s published tiers, highlighting the transparency gap: Struct publishes exact investigation limits and user caps, while Resolve requires a sales call to learn any volume or cost details.
| Feature | Resolve AI | Struct Startup | Struct Growth |
|---|---|---|---|
| Public pricing | Not published, sales-only | Free to start | Free to start |
| Investigations/mo | Consumption-based, volume undisclosed | 30 issues/mo | 200 issues/mo |
| User seats | Enterprise contract, undisclosed | Up to 5 users | Unlimited users |
| Setup time | Weeks (enterprise deployment) | ~10 minutes | ~10 minutes |
Featured snippet: Resolve AI uses a consumption-based pricing model sold exclusively through enterprise sales engagements and AWS Marketplace contracts. No public dollar ranges, per-investigation rates, or tier limits appear on Resolve’s website as of June 2026. Buyers should expect a multi-week procurement cycle before receiving a quote.
Resolve AI 14-Day Trial Limits and Contract Expectations
Resolve AI does not publish a price list, so buyers cannot see costs before talking with sales. Resolve advertises a free tier and a self-serve 14-day trial. Anecdotal reports from engineering communities such as Reddit r/sre indicate that access usually begins with a scoped proof-of-concept arranged through a sales representative, with pricing revealed only after a discovery call. Based on its AWS Marketplace positioning and enterprise-only sales motion, contract values align with six-figure annual commitments typical of enterprise SRE platforms, though no confirmed public figure exists.
Struct’s 30-day risk-free pilot is explicitly documented. Teams connect integrations, run live investigations, and evaluate output quality before any payment is required.
How Resolve AI Charges per Investigation vs Struct Tiers
Resolve’s consumption-based model ties cost to investigation volume, so teams that experience alert spikes during deploys, infrastructure migrations, or traffic surges face unpredictable monthly bills. The per-investigation unit cost is not disclosed publicly, which makes budget forecasting difficult for finance teams at growth-stage companies.
Struct’s model works in the opposite way. The Startup tier includes 30 investigations per month at a fixed cost. The Growth tier covers 200 investigations per month with unlimited users. Enterprise tiers carry custom volume and pricing negotiated directly. There are no surprise overage charges within a tier’s defined limit, and Struct integrates with Slack, GitHub, Datadog, AWS CloudWatch, Sentry, GCP, Azure, Grafana, Prometheus, Loki, Sumo Logic, and Better Stack under the same flat allowance.
Resolve AI vs Struct Pricing for Startup Engineering Teams
For early-stage teams, this flat-allowance model has direct budget implications. Consider a 40-person Series A engineering team running 150 alerts per month, where the cost calculus is direct. Resolve requires a sales cycle measured in weeks, an enterprise contract of undisclosed size, and a deployment process described by practitioners on Reddit r/sre as requiring significant configuration time. Struct’s Growth tier covers 200 investigations per month with unlimited users, uses rapid deployment, and includes a 30-day risk-free pilot.
The hidden cost of Resolve’s model for startups is not just the contract value. The real drag comes from a multi-week procurement and onboarding cycle during which engineers continue spending 30–45 minutes per investigation manually correlating Datadog metrics, Sentry exceptions, CloudWatch logs, and GitHub commits. Struct customers at large scale report an 80% reduction in triage time, turning those 45-minute investigations into 5-minute reviews from day one.
Get your first automated investigation running before your next standup.
When to Choose Enterprise vs Startup Automated On-Call Tools
Use the following checklist to determine which category of tooling fits your team’s current state. If your team meets three or more of the first four criteria, Struct’s Growth tier will usually deliver immediate ROI without the procurement overhead of an enterprise tool. The final two criteria, on-premise requirements and compliance mandates, act as binary gates that require direct vendor validation.
- Alert volume under 200/mo: Struct Growth tier covers this entirely at a predictable cost. Resolve’s consumption model adds pricing uncertainty at this volume.
- MTTR SLA under 60 minutes: Struct’s automated first-pass investigation completes in under 5 minutes, which protects SLA windows. A multi-week Resolve onboarding delays that protection.
- Team size under 50 engineers: Struct’s unlimited-user Growth tier scales with headcount without per-seat penalties.
- Junior engineers on rotation: Struct provides a contextualized starting point for every alert, so engineers without deep tribal knowledge can take on-call shifts safely.
- On-premise or zero-egress VPC requirement: Struct currently requires log access via cloud integrations. Teams with strict zero-egress mandates should evaluate Resolve’s enterprise on-prem options or wait for Struct’s sidecar and on-prem tier, which is available in the Enterprise plan.
- Compliance requirement (SOC 2, HIPAA): Struct is SOC 2 and HIPAA compliant. Buyers should verify Resolve’s compliance posture directly with their sales team.
Real-World ROI: 80% Triage Reduction at a Series A Fintech
A Series A fintech company with over 40 engineers operated under strict SLAs that required rapid response to every alert. Their standard investigation process, which involved pulling context from Slack alerts, cross-referencing observability platforms, tracking exceptions, and mapping root causes to recent code changes, consumed an average of 30 to 45 minutes per incident.
After connecting Struct in a short setup window, the team automated their alerting channels. Struct now intercepts each alert and completes the full context-gathering and investigation phase in under 5 minutes, delivering the 80% triage-time reduction mentioned earlier. The platform correlates logs, metrics, traces, and code context into a single dynamically generated dashboard, which gives engineers an immediate view of blast radius and customer impact without switching between tools.
The triage-time reduction had a secondary effect that proved equally significant. Because Struct’s automated investigation provides a reliable, contextualized starting point for every alert, newer engineers can take on-call shifts confidently, which removes the dependency on senior engineers holding tribal knowledge. The helpful investigation rate mentioned earlier, 85–90%+ across Struct’s customer base, means the automated root cause and suggested fix are actionable in the overwhelming majority of cases.
The table below isolates the four operational factors that most directly impact a team’s ability to deploy and scale an on-call automation tool: setup speed, compliance posture, user scalability, and code remediation workflow.
| Evaluation Criterion | Resolve AI | Struct |
|---|---|---|
| Setup time | Weeks (enterprise deployment) | ~10 minutes |
| Compliance | Verify with sales | SOC 2 + HIPAA |
| User limits (Growth-equivalent) | Enterprise contract, undisclosed | Unlimited users |
| Handoff to code agent / PR | Not publicly documented | Native code agent + PR creation |
Frequently Asked Questions
What minimum tooling maturity does a team need before Struct is useful?
Struct requires basic observability infrastructure to be in place. Teams should already be using at least one log aggregation tool, such as Datadog, AWS CloudWatch, or GCP Logs, an exception tracker such as Sentry, and a code repository such as GitHub. If a system lacks trace IDs, structured logging, or alerting triggers, Struct cannot synthesize a root cause from code analysis alone. Teams already using Slack for alerts and one observability platform are ready to deploy immediately.
Can Struct be used if our logs cannot leave our VPC?
Struct currently requires access to logs and telemetry via its cloud integrations. If your organization enforces a strict zero-egress policy where no log data can leave an internal network and full on-premise deployment is mandatory, Struct’s Startup and Growth tiers are not the right fit. Struct’s Enterprise tier includes sidecar and on-prem support options, which should be discussed directly with the Struct team for organizations with those constraints.
What does the setup process actually involve?
Setup involves three authentication steps. Teams connect their issue source, such as Slack or a ticketing system like Linear or Jira, connect their code repository such as GitHub, and connect their observability context such as Datadog, CloudWatch, Sentry, or an equivalent tool. Once all three are authenticated, auto-investigations can be enabled immediately. No engineering sprint, professional services engagement, or infrastructure changes are required.
Is it safe to put junior engineers on call with Struct?
Struct is specifically designed to function as an automated senior engineer for the first pass of every investigation. When an alert fires, Struct produces a contextualized dashboard that includes root cause, blast radius, supporting evidence, and suggested fixes before the on-call engineer opens their laptop. Junior engineers receive a structured starting point rather than a blank screen and five disconnected tools. Custom runbooks can also be encoded directly into Struct so the AI follows the team’s exact operational procedures for specific alert types.
How does Resolve AI enterprise pricing compare to Struct for a 40-person team?
Resolve AI does not publish pricing, so a direct dollar comparison is not possible without engaging their sales team. What is documentable is the motion itself. Resolve requires a sales-led procurement cycle, an enterprise contract, and a multi-week deployment. Struct’s Growth tier, which covers 200 investigations per month with unlimited users, is available immediately with a 30-day risk-free pilot and no sales call required for Startup or Growth tiers. For teams that need a budget figure quickly, Struct’s transparent tier structure is the faster path to a signed purchase order.
Conclusion: Choosing Struct or Resolve AI for Modern On-Call Teams
Resolve AI’s opaque consumption-based pricing and enterprise-only sales motion create real friction for engineering leaders who need a cost figure, a compliance confirmation, and a working integration within days, not months. Struct’s published Startup, Growth, and Enterprise tiers answer budget questions upfront for Seed-to-Series-C and other fast-moving teams. The rapid setup, 80% triage-time reduction, 85–90% helpful-investigation rate, and SOC 2 plus HIPAA compliance make Struct a strong operational choice for engineering organizations that cannot afford a lengthy enterprise procurement cycle while their engineers burn hours on manual log-hunting.
