Intelligent FAQ
Decision-grade questions to scope implementation without guesswork
Filter by service, buyer role, and operational triggers. This FAQ prioritizes risk, governance, and continuity for LATAM SMEs.
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What signals show AI will pay off here, and what is the fastest proof?
We validate three signals: reliable data, repeatable process, and a business owner. If present, we run a 2 to 4 week sprint measuring cycle time, error rate, and cost per transaction.
How do we avoid pilot purgatory and move from PoC to production with governance?
From day one we define exit criteria, operational ownership, and change controls. The PoC is approved only if it leaves a production backlog, target architecture, and run plan.
How do you define security and data boundaries (PII, IP) for AI integrations?
We segment data by sensitivity, minimize PII, and enforce role-based access. Every integration includes traceability, encryption, and audit controls to reduce legal and operational exposure.
How do we measure ROI beyond model accuracy?
We track business KPIs: cycle time, unit cost, error rate, rework, and throughput. Accuracy matters only if it moves a financial or operational metric.
What is the minimum data foundation before building models?
You need a source inventory, a critical field dictionary, and basic quality rules. If missing, we first build a minimal governance layer before training.
What usually blocks Odoo.sh upgrades and how do you de-risk them?
We map custom modules, OCA dependencies, Studio changes, and third-party integrations. QuickLook ranks risk by impact, and FirstLook defines the technical route before touching production.
How do you run staging-first validation and honest UAT with production-like data?
We work staging-first with traceable business cases and acceptance criteria by function. UAT runs on representative data with formal evidence to avoid superficial sign-off.
What downtime window is acceptable, and what does a real rollback look like?
We define cutover windows, rollback playbooks, and minute-by-minute checklists. If risk exceeds the agreed threshold, rollback is triggered immediately to protect continuity.
How do you protect inventory valuation, AR/AP integrity, and historical records during upgrades?
Before cutover we reconcile inventory, AR/AP, and historical balances with control reports. We do not go live without verified accounting and tax consistency.
How do you assign ownership across IT, Operations, Finance, and Commercial during cutover?
We define RACI per workstream and a decision owner per milestone. This prevents the classic failure mode where everyone comments and no one decides.
How do you right-size cloud architecture for LATAM without overengineering?
We size by latency, budget, and real local team capabilities. We prioritize operable architectures for SMEs and avoid support-heavy complexity.
What cost-governance model keeps cloud from becoming a black hole?
We set unit budgets, mandatory tagging, and early alerts. Weekly dashboards catch leakage before spend becomes uncontrollable.
How do you define security posture: IAM, secrets, network segmentation, backups, and DR?
We establish baselines for IAM, secret management, network segmentation, backups, and DR plans with clear RPO/RTO targets. Security is validated during delivery, not after.
When do we need high availability versus good-enough resilience for an SME?
We choose resilience by business impact and downtime cost. Not everything needs HA, but every choice must be explicit and documented.
How do you design observability so operations is never blind?
We design observability from day one with actionable logs, metrics, and traces. Every service gets thresholds, response alerts, and clear ownership.
