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This page shows what done looks like for the first sellable TrueQuery experience: a premium, trustworthy product surface where business users request reports in plain English, admins stay in control, and approved outputs publish to a catalog the company can actually trust.
Primary ICP
Mid-market manufacturing / distribution
Commercial wedge
Ad-hoc reporting backlog
Differentiator
Approval-gated AI with auditability
Vision scorecard
What buyers should feel
Target posture
Trustworthy · concrete · governed
Ad-hoc turnaround
2–4 weeks → 1–3 days
IT effort reclaimed
15–30 hrs/week → 3–5 hrs
Governance posture
Approval-gated, audited, read-only
Initial wedge
Epicor / SQL Server manufacturers
TrueQuery should look less like an experimental AI tool and more like a governed operations product that already belongs inside finance, IT, and plant reporting workflows.
A premium hero that makes the wedge obvious: governed reporting for ERP-heavy manufacturers.
A visual explanation of policy, approval, validation, and audit so buyers feel safety before feature breadth.
The happy path is explicit, deterministic, and narrow enough to align product, engineering, and sales.
A believable destination where approved reports feel owned, certified, reusable, and operationally valuable.
The one-sentence promise is locked and visually reinforced everywhere on the page.
The first pilot scope is narrow, credible, and tied to measurable turnaround and workload outcomes.
Governance is shown as product architecture, not as marketing reassurance.
The page feels premium and enterprise-serious without drifting into broad platform sprawl.
Michael can use the page as an internal target-state artifact for design, messaging, and product sequencing.
The product does not need broad platform sprawl to feel real. It needs one governed reporting loop that feels deterministic, safe, and operationally useful end to end.
A business user asks for a report in plain English with operational context, timeframe, filters, and intended audience.
The system pulls only sanctioned schema context, field metadata, sensitivity tiers, and connector constraints.
The request becomes a structured report plan that is checked against governance rules before SQL generation proceeds.
Generated SQL is critiqued, restricted to read-only patterns, parameterized, row-capped, and blocked if it violates policy.
An admin reviews the SQL, explanation, sample results, sensitivity exposure, and ownership before publish.
The approved report becomes a governed catalog asset with owner, certification state, audit trail, and reuse path.
Production yield by plant and workcenter
Inventory aging with approved financial dimensions
On-time delivery by customer, region, and plant
Open order backlog with controller-reviewed logic
Service parts demand and warranty trend summaries
Monthly close support reports with certified definitions
Important framing
The AI is not the hero. The governed reporting system is the hero. AI is the internal acceleration layer inside a product that remains admin-led, policy-bounded, and enterprise-safe.
This vision page is meant to make TrueQuery feel real before the full product exists. It should anchor design direction, narrow roadmap choices, and keep GTM materials honest about the first sellable loop.
Messaging guardrail
Lead with governed reporting, not platform sprawl.
Design guardrail
Premium B2B clarity over flashy AI theatrics.
Roadmap guardrail
Ship one deterministic happy path before breadth.