Document workflow systems
For recurring PDFs, scans, records, forms, invoices, signed documents, or packets that currently require manual review, copy-paste, and exception handling.
Bounded commercial engagements
I work best where the business problem is real, the current process is fragmented, and the useful software boundary is not obvious yet. The engagement connects workflow discovery, product decisions, implementation, and operating evidence.
This page is for a defined commercial outcome. If the real need is sustained internal ownership across team, roadmap, and platform, review Experience instead.
Service hierarchy
For recurring PDFs, scans, records, forms, invoices, signed documents, or packets that currently require manual review, copy-paste, and exception handling.
For intake, triage, extraction, approvals, case work, dashboards, and operational automation where model output must remain inspectable.
For privacy-sensitive, file-heavy, offline, or low-latency workflows where direct filesystem access and user control make a cloud-only product the wrong default.
For editors, digital twins, path analysis, scene alignment, comparison, and decision surfaces that require deterministic spatial reasoning.
How the work is run
The engagement is not a sequence of presentation cycles. Progress stays visible through decisions, working software, quality evidence, and explicit boundaries.
Users, inputs, handoffs, exceptions, and the cost of failure define the product boundary before a model or framework does.
AI output receives evidence, confidence, review states, fallbacks, and an explicit route to human judgment.
A scope includes the useful user path, quality bar, exclusions, delivery evidence, and what must be true for the engagement to be complete.
State, errors, permissions, observability, deployment, documentation, and handoff are part of the product rather than optional cleanup.
Engagements and pricing
Starting scopes create an honest floor before either side invests in calls. Final scope depends on workflow risk, integrations, quality requirements, delivery speed, and the amount of unknown product work.
Checking your region
Separate regional price books, not a live exchange-rate conversion. Final pricing depends on scope, risk, integrations, and delivery speed.
$2,500+
Turn an unclear workflow or product idea into a buildable system plan with the riskiest assumptions exposed.
Typical timeline
5 to 7 working days
Best for
A real operational problem exists, but the first useful product boundary is still unclear.
Most common starting point
$9,000+
Design and ship the core working path for an AI-assisted product, internal tool, or local-first workflow.
Typical timeline
3 to 5 weeks
Best for
You need a usable product surface that real users can operate, review, and react to.
$22,000+
Build a larger operational system with integrations, evaluation, governance, and a credible path beyond the first release.
Typical timeline
6 to 12 weeks
Best for
The workflow is business-critical and needs more than a polished prototype or isolated feature.
$7,500/mo+
Ongoing product and engineering ownership for a bounded workstream, without adding a full-time senior hire immediately.
Typical timeline
Monthly
Best for
A founder or small team needs sustained senior execution across product decisions and implementation.
Prefer to operate something before discussing scope?
Run the browser-contained evidence extraction mechanism, inspect its claim boundary, and then compare it with the larger audited MetaExtract product case.
Start with evidence
No. This path is for a bounded commercial outcome with explicit scope, delivery evidence, and an end condition. If the real need is ongoing ownership across team, roadmap, platform, and repeated product decisions, review the Experience page instead.
No. AI is one component when it improves the workflow. Deterministic software, rules, search, data pipelines, and operator tools are often equally important.
Yes. A bounded workflow, subsystem, architecture correction, or difficult operator surface inside an existing stack is often a better engagement than starting from zero.
I do not present immediate or unlimited availability. Capacity, confidentiality, conflicts, delivery timing, and transition constraints are discussed before scope is accepted.
No access to real examples or users, success defined as vague AI novelty, or a fixed deadline with no willingness to narrow scope. Those conditions make honest delivery impossible.
Custom project and advisory work is scoped separately and may be contracted through PSRS Technologies Private Limited. The personal site remains the proof-of-work and professional context surface.