Qstom - Botique.me - Custom AI Assistants

Q: How is compliance handled in practice?

Governance runs inside the workflow. Controls include consent capture, provenance, human-in-the-loop, risk flags, and audit exports. Qstody provides policy kits, coverage metrics, and reassessment schedules aligned to EU AI Act categories and US privacy rules. We document purpose, data provenance, approvals, and overrides per job. Artifacts are exportable for auditors and customers. As regulation evolves, we update the control set and evidence templates without forcing operators to change tools or behavior

Q: What data security and privacy safeguards apply?

Data access follows least-privilege and role-based controls. PII handling uses masking and field-level policies; sensitive events are logged with tamper-evident timestamps. We support regional data residency, key rotation, retention windows, and deletion workflows. Connectors are configured with scoped credentials; secrets are stored securely. All model interactions are monitored for leakage risks, with configurable redaction and allow/deny lists. We provide incident runbooks, DPIA-ready documentation, and customer-owned encryption options where required.

Q: How do you measure ROI and success reliably?

We agree acceptance tests in operator terms before build. During pilot, we track time-to-value, completion rate, error deltas, and deflections (tickets or calls avoided). We compare before/after baselines, attribute wins to specific steps, and publish a short evidence pack: metrics, sample artifacts, and audit coverage. This proof reduces presales friction and guides expansion. Post go-live, we monitor trendlines and set thresholds that trigger copy/UI tweaks or routing changes to preserve gains.

Q: What does a typical 30-day pilot include?

Week 1: discovery, acceptance tests, integration points, and governance baseline. Weeks 2–3: configure flows, connectors, guardrails; prepare trial data; dry-run critical paths. Week 4: instrumented pilot with a small cohort, logs, and checkpoints. We finish with a findings review, evidence pack, and an options list for adjacent jobs. If targets are met, we scale. If not, we adjust scope or pause, so decisions stay data-driven and reversible.

Qstom - Custom AI Automations and Dev

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AI that fits your workflow:
Vertical SaaS for SMEs. Simple UI. Governed by default.

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Faster time-to-value

Botique builds job-oriented AI applications that embed into your existing processes.
Clear scope, defined integration points, and governance in-flow turn weeks into value, reduce change cost, and de-risk AI compliance for SMEs

Faster pilots, measurable ROI, audit-ready controls.

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Our Frequently Asked Questions

What SME buyers and operators need to know.
Fast answers on integrations, governance, outcomes, and rollout. Learn how Botique inserts AI into existing tools, proves ROI, and meets EU/US requirements without heavy re-engineering.

More FAQ's

Do we need to replace our current systems?

No. Botique is integration-light. We connect through standardized points such as email, web widgets, CRMs, helpdesks, PMS, files, or databases. Operators stay in familiar tools, which lifts adoption and reduces training time. Events are logged where work happens, so audits are straightforward. Most pilots need only basic credentials and a scoped dataset to start. When deeper connections are required, we add them incrementally, preserving uptime and limiting risk to defined, testable changes

How is compliance handled in practice?

What data security and privacy safeguards apply?

How do you measure ROI and success reliably?

What does a typical 30-day pilot include?

Qstom - Custom AI Automations and Dev