30-Day Paid AI Workflow Pilot
Pick one high-friction workpaper, evidence review, gap analysis, ToD / ToE, diligence, verification, or ERP workflow where delay is costing margin. Dotnitron builds a working pilot around your templates, data boundary, reviewer path, and rollout decision.
Professional services firms, cyber compliance teams, GRC firms, IT audit groups, diligence teams, verification teams, and ERP-heavy operations teams with a manual workflow that burns expensive hours or slows client delivery.
Policy-control mapping, evidence intake, screenshot review, gap analysis, ToD notes, ToE notes, diligence red flags, background verification exceptions, ERP answer queues, source-cited reporting, and exports to workpaper templates.
Workflow map, document or data intake flow, AI-assisted review workflow, source-backed output, reviewer interface, export to Excel, Word, or PowerPoint, validation report, deployment recommendation, and next-step roadmap.
We measure hours saved, reviewer edit rate, evidence traceability, exception quality, delivery speed, and how well the workflow fits your actual operating process.
Qualified pilots are paid, scoped engagements. The first call confirms fit; mapping defines sources, reviewers, security constraints, output format, integration needs, and the fee drivers before a pilot is proposed.
A strong pilot needs one business owner, one workflow owner, sample material, reviewer availability, and a clear decision gate. If those are not available, the safer next step is workflow mapping before engineering.
Sprint Scope
The pilot is intentionally narrow: one recurring workflow, real templates, representative documents or data, and reviewer-ready output.
Professional services and operations teams with a document-heavy workflow that creates measurable review friction.
The workflow candidates that usually make the strongest first pilot.
Artifacts your team can inspect at the end of the sprint.
Timeline
Each week narrows risk, improves reviewer fit, and keeps the pilot tied to measurable delivery or operating value.
Choose one manual workflow, gather sample templates and documents, define success metrics, and confirm security constraints.
Build the document intake flow, extraction schema, source citation pattern, and control or playbook mapping logic.
Create the review queue, draft output, exception flags, source references, and export format.
Test with representative engagement materials, measure reviewer edits and hours saved, then define deployment and expansion steps.
FAQ
Do not buy it if you only want an AI brainstorming workshop, a free proof of concept, or a broad transformation roadmap. The pilot is for teams with one painful workflow, real examples, a business owner, and willingness to validate outputs quickly.
Thirty days is long enough to use real templates, evidence, and review patterns while staying focused on one workflow with measurable value.
We need access to the workflow owners, sample templates, representative documents, and security constraints. We can coordinate with IT for deployment decisions.
The first call decides whether the workflow is repeated, painful, measurable, safe enough to test, and owned by someone who can validate outputs. If it is not a fit, we will say so.
Fee depends on scope: number of source types, review interface depth, integrations, security constraints, deployment model, validation requirements, and whether exports need to fit existing workpaper or reporting templates.
A workflow owner, reviewer access, sample documents or data, current templates, success metrics, and clarity on data sensitivity. Sensitive material can be scoped after NDA or replaced with sanitized samples for early mapping.
You receive the pilot, measurement results, validation report, deployment recommendation, and a roadmap for expanding into adjacent workflows.
Bring the workpaper, evidence review, gap analysis, ToD / ToE, diligence, verification, or ERP workflow where manual effort is already costing margin or delivery speed.