IT, Digital, and Operations leaders
Teams managing operational, legal, financial, or engineering documentation with strict residency and access controls.
PRIVATE AI · FEASIBILITY REVIEW · DATA CONTROL
Private AI over your data and workflows — with verified architecture and limits before implementation.
For organizations with confidential documentation or strict data restrictions (industrial firms, engineering practices, legal/financial firms, regulated services): we validate over 5 days on a controlled sample whether local or private-cloud AI solves your workflow before taking on production infrastructure or vendor commitments.
WHO IT'S FOR
Who it's for
High-friction document workflows
Workflows where dispersed knowledge, manual extraction, or leakage risks impede day-to-day operations.
Leaders validating before production investment
Technical and operational decision-makers who require empirical accuracy benchmarks and boundaries before contracting large-scale builds.
WHAT THE FEASIBILITY REVIEW INCLUDES
Bounded 5-day scope
Evaluation over a controlled sample and single target workflow · Assessment of tailored architectures (local models or private environments matching verified boundaries) · Explicit precision criteria and failure bounds · Go / refine / pause decision readout · No lock-in or unverified savings promises before measurement
PROCESS
From sample to decision
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1. Sample selection & boundaries
Define the specific workflow, active data boundaries, and measurable precision benchmarks.
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2. Technical evaluation (5 days)
Run benchmark tests for retrieval, precision, and latency on the designated architecture setup.
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3. Feasibility memo & readout
Deliver executive memo with measured findings, technical boundaries, and clear next-step verdict (proceed, adjust, or stop).
INDEPENDENT ASSESSMENT
Vendor-independent evaluation
Neutral evaluation with zero vendor commission. Every architecture recommendation is tested against your actual data constraints. · AI Act diagnosis · AI Due Diligence Playbook
EXPLICIT BOUNDARIES
What feasibility is not
Does not include production cutover, enterprise SSO/Active Directory rollouts, massive data cleaning, or blanket savings promises prior to empirical measurement.
DATA CONTROL
Cloud, Private or On-Prem?
Download the technical checklist to assess data sensitivity, retention, and sovereignty requirements before procuring or hosting private models.
Cloud, Private or On-Prem? Data Control Checklist (PDF)
Assess data sensitivity, residency, retention, and whether private AI architecture is genuinely required before procuring.
Request it by email.
Request by emailCONTACT
Evaluate your workflow feasibility
Tell me about your target workflow and data constraints to determine if a feasibility review is the right step.