Source
Every packet names the source material and the workflow context being used.
Controlled AI for regulated operations
SOLVECompliance
Agentic systems for quality teams that need speed without hidden autonomy.
SOLVE helps QA, Quality Systems, manufacturing, QC, engineering, and regulated operators design AI workflows where agents prepare work, humans approve decisions, and receipts preserve the source, boundary, evidence, cost, QC result, and next step.
8product lanes mapped
4offer shapes defined
7campaign angles prepared
0public checkout dependency
Source visible
Authority bounded
Evidence attached
Human decision owner
Invoice and proposal first
The control model
AI should make regulated work more reviewable, not less accountable.
SOLVE starts with one bounded workflow and proves the operating model before broader automation. The product is not a black box. The product is visible control.
Boundary
The system states what agents may prepare and what humans must decide.
Evidence
Outputs carry evidence paths, gaps, unresolved risk, cost, and QC result.
Review
Quality or operator review happens before buyer-facing or regulated action.
Receipt
The action record captures who did what, when, why, and what happens next.
The GMP AI offer
Controlled AI/cGMP Diagnostic
For regulated teams that want AI leverage without surrendering control. SOLVE maps the workflow, exposes the risk boundary, and gives leaders a build path they can defend.
Discovery
Pick the workflow, pressure-test the risk boundary, and decide whether the diagnostic is worth doing.
$500+Controlled AI/cGMP Diagnostic
One controlled workflow mapped end to end: human review points, data-integrity risks, evidence model, receipts, and implementation path.
$1,500-$2,500Implementation Sprint
Build the controlled workflow with project-specific QA, validation, change-control, and support boundaries visible from day one.
$5,000-$15,000
Discovery call
Diagnostic scope
Proposal
Invoice or contract
Controlled pilot
Operating proof
SOLVE is building from its own governed operator system.
The local SOLVE system already tracks agent workstations, receipts, safety boundaries, content production, QMS/QUAD rehearsal, B2B revenue preparation, and model-routing discipline.
Operator Studio
Visible workroom for tasks, holds, receipts, and review paths.
QMS/QUAD Triage
Synthetic rehearsal for meeting signals, actions, blockers, and draft reports.
FMEA Control
Risk review for agent workflows before authority expands.
Local-First Route
Low-cost local lanes before larger compute is justified.
Product system
One company spine, multiple regulated-workflow lanes.
The first revenue path routes to the diagnostic. The broader product map shows where SOLVE can expand after claims, support, and implementation evidence mature.
Controlled AI / Agentic Systems for cGMP Manufacturing
Human-reviewed, audit-aware workflows for QA and Quality Systems leaders.
SOLVE Operator Studio
Governed local-agent operations with receipts, holds, and evidence ledgers.
QMS/QUAD Meeting Triage
Meeting signal capture, action ownership, blocker escalation, and draft reports.
Deviation Weak-Signal Triage
Earlier visibility into repeated signals without automating GMP decisions.
Validation Portal
Future delivery layer for controlled workflow design and validation evidence.
Founder Demand Engine
Content-led education and demand generation for governed AI in manufacturing.
SOLVE LinkedIn / Blog Engine
Review-first content system for explainable, compliance-aware market education.
GMP Is A Temple
Education and community trust lane for quality culture and regulated learning.
Campaign system
Seven buyer angles, one controlled offer.
AI in GMP without losing control
For QA teams that want leverage but cannot accept hidden autonomy.
Deviation backlog and weak-signal triage
For teams trying to see risk patterns earlier without uncontrolled records.
QMS meeting follow-up keeps slipping
For meeting owners who need clearer decisions, owners, blockers, and evidence.
Human-reviewed agentic workflows for QA
For leaders who want every agent action reviewable before trust expands.
Audit-aware AI for biotech manufacturing
For sites that need speed while protecting quality culture.
Source, boundary, evidence, approval
For digital and IT/OT leaders who need a visible control plane first.
Local AI agent command center
For small expert teams that want one place to see tasks, receipts, and holds.
Claims boundary
What SOLVE will not overclaim.
No autonomous GMP decision-making
Agents can prepare, summarize, organize, and draft. Accountable humans own regulated decisions.
No unsupported validation promise
Validation and change-control claims require project-specific evidence and client-specific controls.
No hidden connector expansion
Systems and data connections are named, bounded, and reviewed before use.
No public checkout shortcut
B2B work starts with discovery, proposal, invoice or contract, and a bounded pilot path.
Start with one controlled workflow
Request a Controlled AI/cGMP diagnostic.
Bring one workflow where AI could help organize evidence, draft a packet, surface weak signals, or prepare review work while humans retain authority.