A quality engineer studying capability charts at a workstation overlooking a factory floor — Built from the work, for the work.

AI & AUTOMATION

Tools we build.
Decisions you keep.

Alongside consulting, SolveXa designs and builds software for quality and operations work: seven tools across quality systems, operations platforms, training, and workflow automation. AI helps draft, explain, and automate the routine; every number and every decision stays with ordinary code and a named person.

Quality systems

Qualify equipment, fix problems for good, and know where the system stands before the auditor does.

A validation engineer checking a temperature probe on an injection moulding machine — QualSim: guided IQ/OQ/PQ

EQUIPMENT QUALIFICATIONPilot-ready

QualSim: guided IQ/OQ/PQ

Qualification protocols take weeks to write and years to learn.

Walks an engineer from user requirements and installation checks through operational studies, performance runs, and close-out, explaining what an auditor expects at each step.
Drafts the protocol with AI, then runs a gap check against the requirements before anyone signs.
A process-window simulator predicts whether performance qualification will pass before material is spent. Capability indices, tolerance intervals, and deviations run in ordinary, tested code.

Built for manufacturers qualifying new equipment, validating or requalifying a process, and engineers learning validation.

8 industry packsISO 13485 · IATF 16949 · AS9100D · 21 CFR 211PDF report and management deck

Discuss QualSim

Gloved hands examining a tagged machined part under a magnifier lamp — CAPA Insight

CORRECTIVE ACTIONPilot-ready

CAPA Insight

Most corrective actions close on paper. Too many problems come back.

Describe the nonconformance, candidate root causes, evidence, and the action options. The engine estimates each option’s chance of working with Bayesian analysis and Monte Carlo simulation.
Priors come from public recall data and your own history, and each case carries a regulatory traceability table for its industry pack.
Effectiveness checks compare prediction with reality, backed by a hash-chained audit trail and electronic signatures on closure.

Built for quality teams under ISO 9001, ISO 13485, IATF 16949, pharmaceutical, or aerospace systems that want evidence before committing to an action.

Bayesian and Monte Carlo5 industry packsAudit trail and e-signatures

Discuss CAPA Insight

A quality manager and an operator reviewing a tablet during an audit walk — ISO 9001 Audit Readiness

AUDIT PREPARATIONWorking MVP

ISO 9001 Audit Readiness

Nobody can say, with evidence, how ready the system is for the audit.

Lists every ISO 9001:2015 requirement with a readiness state, a weight, and plain-language guidance on what the auditor will ask.
Links evidence documents and records to clause references, and tracks a corrective action for each gap with an owner and a due date.
A readiness check turns the requirement states into a weighted score and a prioritised gap list on one dashboard.

Built for quality managers preparing for certification or surveillance audits who want a defensible picture of readiness before the auditor arrives.

ISO 9001:2015 clause mapWeighted readiness scoreRuns in the browser

Discuss audit readiness

Operations platforms

Run a plant or a capital program from one view, with simulation and risk analysis built in.

A team huddle in front of a wall screen of production indicators at the start of a shift — Zita

PLANT IMPROVEMENT SYSTEMIn active build

Zita

Daily management, actions, KPIs, and the QMS live in five tools that never agree.

One tenant-aware platform for daily management, actions with aging and escalation, KPIs and OEE, the quality management system, and Lean and Six Sigma projects.
A simulation studio with a discrete-event engine, a flowchart editor, scenario search, and a digital-twin mode fed by live telemetry.
Kiosk sign-in for operators, a Python bridge for optimisation experiments, and reports that feed a savings portfolio.

Built for small and midsized plants that want their improvement system in one place instead of spreadsheets, slide decks, and a separate simulation tool.

Daily management to QMSDiscrete-event simulation and digital twinMulti-tenant with kiosk sign-in

Discuss Zita

Two planners in front of a wall display of a program schedule and route map — Owner’s project-controls dashboard

CAPITAL PROGRAM CONTROLSProof of concept

Owner’s project-controls dashboard

Contractor schedules arrive as files. The owner needs one view of where the program really stands.

Reads Primavera P6 XER submissions from any number of contractors and data dates, then runs a first-pass review: missing logic, constraints, leads and long lags, out-of-sequence progress, negative float.
A vectorised critical-path engine and a Monte Carlo risk engine give P10 to P90 dates and costs, contingency required against contingency held, and the risk drivers behind them.
An owner’s view with KPIs, segment detail, trends, and findings, plus an anonymiser so contractor data can be analysed without exposing names.

Built for owners and PMO teams on multi-contractor capital programs who need schedule assurance and risk-adjusted forecasts between monthly submissions.

Primavera P6 XER inputCPM and Monte Carlo enginesBuilt for a multi-contractor program

Discuss project controls

People and pipeline

Build capability and keep the recurring work moving without anyone losing a day to it.

An instructor explaining a control chart to learners in a company classroom — Six Sigma Academy

TRAINING & CERTIFICATIONPilot-ready

Six Sigma Academy

Belt training is expensive to deliver and easy to pass by memorising last year’s paper.

A gated path from lesson to summary, chapter quiz, exam preparation, final exam, and certificate, for White, Yellow, and Green Belts, with a Black Belt track built and held in reserve.
Lessons as slide decks with purpose-drawn diagrams and a full-screen present mode, so a lecturer can teach a whole chapter from it.
Every quiz and exam is generated fresh the moment it starts, with scrambled options and renumbered worked problems, so no two papers match.

Built for companies and universities that want to license belt training by the seat and certify learners on their own schedule.

White, Yellow, and Green Belt tracksFresh exam on every sittingLicensed per seat

Discuss the Academy

An operations desk at sunrise with a laptop dashboard and a printed report — Workflow automation

WORKFLOW AUTOMATIONRunning at SolveXa

Workflow automation

The recurring report that eats someone’s Monday should write itself.

Approve-then-run workflows for jobs that must be done correctly every time: supplier quality scorecards from a messy export, structured CAPA drafts from an inspection report, audit-readiness checks against ISO 9001 and 13485 clauses, and a daily industry digest.
Outreach and follow-up: prospects, drafted emails, approvals, and five-day follow-ups in one queue connected to Microsoft 365, with replies captured and unsubscribes honoured.
AI makes the judgment calls inside a step. Ordinary code does the work, so a run is repeatable and every step is recorded.

Built for quality and operations teams, and owner-led firms, that want recurring work done the same way every time without a day lost to it.

Human approval before every runMicrosoft 365 integrationRuns SolveXa’s own pipeline

Discuss workflow automation

All of these were designed and built by Ammar Mahdi with AI-assisted development. Status labels are honest: a proof of concept or an MVP is shown as such. Outputs are drafts and decision support for your team’s review and approval; they do not replace validated procedures, trained people, or your certification body.

HOW WE WORK WITH AI

Useful where it helps.
Absent where it should not be.

AI drafts and explains.

Protocols, procedures, summaries, and outreach emails start as drafts. Each one is checked against the requirements and read by a person before it is used.

Code does the arithmetic.

Capability indices, tolerance intervals, probabilities, and limits run in ordinary, tested code. Nothing numerical is left to a language model.

People decide and sign.

Acceptance, root-cause conclusions, and closure stay with named people, with audit trails and electronic signatures where the record needs them.

Client records are not sent to AI services without written agreement. The same rules apply inside our consulting work. See how we work

YOUR NEXT MOVE

Curious whether one of these fits your operation?

Book a free 20-minute call

Tools we build.Decisions you keep.