Selqadra AI is a process transformation platform built for Business Process & Operational Excellence consulting teams. It brings client briefs, SOPs, interviews, process data and performance evidence into one workspace, helps teams understand how work actually happens, identifies bottlenecks and root causes, supports future-state process design, tracks implementation and adoption, and measures whether the expected operational improvements and savings are actually achieved.
see how it worksthe engagement view
The dashboard brings active engagements, evidence coverage by source, completed baselines, expected savings, the AI-ranked risk watchlist and the next best action onto one screen — so engagement leads see what still needs evidence today and partners see which savings are on track before the steering review.
91% of the evidence the engagement needs is in and checked — up 5 points — with 138 sources validated, 74 in review and 12 still missing.
proven business impact & roi
Process transformation benchmarkProcess lead time improved from 31.6 hours to 12.9 hours, showing a major reduction in end-to-end processing time after the redesigned workflow was implemented.
First-pass yield improved from 84.1% to 94.4%, meaning more work is completed correctly the first time without requiring additional correction or repeat handling.
Rework reduced from 15.9% to 5.8%, showing that fewer transactions now return for correction, repeat review, or additional processing.
Illustrative figures for a process transformation workspace, not measured customer results.
book a demo
Book a 45-minute walkthrough of Selqadra AI. Pick a time, tell us who you are, choose the modules you’d like to see — we’ll meet you where you are, whether you’re scoping a diagnostic sprint or closing out a benefit review.
Prefer to talk first? send us an email — we answer every note with care, usually the same day.
A focused walkthrough of Selqadra AI on the engagements your practice runs: client intake, process review, evidence extraction, performance analysis, future-state design, change delivery and benefit tracking — end to end.
45 minutes · video call
November 2026
Pick a date to see the open times
the nestack operations suite
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Every Nestack platform operates on shared AI orchestration, verified evidence tracing, and industry-tailored ingestion models.
the whole engagement
The same modules you see in the Selqadra AI sidebar — Client Intake, Process Review, Performance Analysis, Process Design, Change Delivery and Results Tracking — connected on one thread from the first client problem to a validated benefit, with evidence coverage, AI confidence and savings on the dashboard.
client intake
Converts client briefs, RFPs, emails and discovery inputs into a structured improvement engagement. AI automatically extracts the problem, scope, stakeholders, goals, candidate KPIs and missing information, while assisting with scoping and proposal preparation.
process review
Builds the current-state process using SOPs, interviews, process logs, screenshots and transaction evidence. AI automatically extracts steps, roles, systems, approvals and exceptions, then detects undocumented activities and differences between the documented and actual process.
performance analysis
Measures how the process performs across lead time, waiting, rework, SLA, throughput and variation. AI automatically detects bottlenecks, unusual patterns and recurring exceptions, then connects them to evidence-backed root causes.
process design
Turns validated problems into a practical future-state workflow with improved roles, controls and process steps. AI automatically identifies simplification and automation opportunities, compares design options and estimates the expected impact on time, cost and quality.
change delivery
Manages the rollout of the approved process through pilots, workflow changes, automation, SOP updates and training. AI automatically tracks dependencies, predicts delivery risks, checks implementation against the approved design and detects adoption barriers.
results tracking
Measures whether the redesigned process is delivering the expected operational improvement after rollout. AI automatically compares baseline, target and actual performance, detects regression and verifies whether improvements and expected savings are being sustained.
how it works
Selqadra AI brings the whole process transformation into one connected engagement. The problem is scoped, the current state is evidenced, the future state is designed and modelled, and the benefit is proven — with AI supporting the team at every stage.
Briefs, discovery emails and meeting notes are brought into the engagement. AI extracts the business problem, stakeholders and candidate KPIs, and highlights missing process-owner or baseline evidence before the scope is signed.
SOPs, interview transcripts and event logs rebuild the process as it really runs. AI calculates lead time, first-pass yield and SLA against each step and classifies every root cause on the evidence behind it.
Future-state changes are proposed against each validated cause, and variants are compared on impact, effort and dependencies — so partners walk the client through modelled trade-offs, not intuition.
Approved changes roll out as controlled work packages while adoption is tracked by team. Results are measured against the original baseline, and any drift is traced back to its cause before the closing readout.
Traditional SaaS vs Selqadra AI
Most BPM suites ship one model and you work inside its limits. Selqadra AI puts an orchestration layer between the workflow and the model, so each transformation task runs on the intelligence that suits it.
Tap a step to see why that model runs it
Reads the brief, discovery emails and meeting notes and drafts the process area, stakeholder owner, candidate KPIs and missing evidence.
Processes scanned SOPs, run-books, screenshots and checklists; identifies document type, process step, owner and missing pages.
Turns recorded stakeholder interviews and workshop audio into searchable transcripts with speakers and timestamps.
Extracts steps, roles, systems, approvals and variants from long SOPs and event logs, citing the source behind each step.
Weighs lead time, rework and SLA data against observations to classify each cause as observed, suspected, validated or unsupported.
Finds past current-state maps, root-cause trees and design patterns that match this engagement and ranks the most relevant first.
Runs inside a private deployment to compare design variants on lead time, cost and effort without client data leaving the environment.
Checks realised benefit against the baseline, confirms adoption and delivery evidence, and flags drift before the steering readout.
One evidenced engagement record
Every module · one lineage · steering-ready view
Note: Model names and marks are the property of their owners and appear here to say which APIs a workflow step can be routed to. No endorsement or partnership is implied.
Connectivity
Selqadra AI connects with the process-mining, communication, document, change-delivery and analytics systems your clients already run, through their documented APIs — so event data, SOPs, approvals and benefit figures move between systems without being re-keyed.
Note: Tool names and marks belong to their respective owners. No endorsement or partnership implied. Integration availability depends on existing systems, licences, API access, vendor approval, security configuration and implementation scope.
standards we support
Selqadra AI runs the evidence, change-control and data-handling practices your clients and their auditors expect. Compliance itself still rests on how your practice configures, governs and operates the platform.
Supports process improvement, performance measurement, quality, risk and continual improvement — Process Review, Performance Analysis and Results Tracking keep procedures, measures and results in the evidenced form quality auditors expect.
Protects the client operational evidence Selqadra AI processes — SOPs, interviews, process logs and performance data are handled under role-based access, logging and confidentiality controls.
Designed around the AICPA Trust Services Criteria for the security, availability and confidentiality of client engagement data.
Note: Selqadra AI provides technical capabilities that support these standards and requirements. It is not itself certified against them, it does not independently certify your practice as compliant, and availability may depend on product configuration, configured integrations and customer operating practices.
Selqadra AI ships
Which is the hard half. It runs every day against SOPs nobody updated and event logs nobody cleaned, on models that shift under it, for a practice that finds out something drifted when the partner opens the steering deck an hour before the readout.
Catalogued for process-transformation workflows
Sister platform — Nestack Agents
Production playbooks
Telemetry, evaluations, guardrails, human review, and a crew on call when one of them starts drifting at 3am.
Failure modes
Sev-1 failure modes
Baseline eval cases
Agent monitoring
Process-transformation agents are catalogued on Nestack Agents.
add-ons
Optional, generic equipment that feeds the modules you already use — matched to how consultants capture paper evidence, run on-site workshops and track adoption.
Swipe for hardware
Note: Hardware, installation, and integration are not included in the standard subscription. Additional charges apply based on the hardware selected, integration modules required, and implementation scope.
Our prices
The whole practice
$200/mo
Selqadra AI runs on a single monthly subscription, covering every engagement your practice runs — from the first discovery interview through diagnosis, design, rollout and the closing benefit readout.
Onboarding is a separate one-time fee, set out below.
onboarding
A one-time setup that gets your practice live before the first monthly cycle: we import your engagement templates, methodology library and reference SOPs, connect the process-mining, document and change-management systems your clients already run, and configure every Selqadra AI module around how your transformations are scoped, evidenced and closed. Each fee below is a STARTING point; we scope the final onboarding once we understand your environment, security needs, integrations, data volume, compliance requirements and deployment model.
$1,000+one-time
Your setup includes:
$2,500+one-time
Everything in Essential, plus:
$5,000+one-time
Everything in Plus, plus:
how it runs
Same platform, same ongoing subscription price. Only the onboarding may differ by your requirements.
Runs in Nestack's managed cloud, with hosting, scaling, updates and backups handled for you. The fastest way to start: discovery interviews are being transcribed and evidence indexed without any infrastructure to stand up.
The same platform deployed inside your client's own cloud, VPC or on-prem environment — for regulated operations, board-level programmes and engagements bound by strict data-handling terms. Their operating data never leaves their environment, and the monthly subscription stays exactly the same.
before you subscribe
Before a practice signs, partners want straight answers on price, risk, payoff and support. These are written for that conversation — not a module tour.
Request a quote based on your team size, engagement volume, and setup needs. Before subscribing, confirm the recurring price, billing basis, and any one-time charges so you can assess the full cost against your delivery budget.
Ask for a clear breakdown of included access, usage allowances, onboarding, and support. Identify any charges for integrations, data migration, or custom requirements upfront—especially if different clients need different delivery arrangements.
Confirm how additional consultants, client engagements, storage, and AI usage affect your plan. Understanding those limits upfront helps you price new consulting work without unexpected software costs affecting engagement margins.
The strongest opportunities are repetitive delivery tasks: consolidating evidence, updating process documentation, tracking improvement actions, and preparing progress reports. Evaluate the value against the hours your team currently spends on these activities.
Those tools may already work well individually. Consider Selqadra AI when keeping evidence, process changes, responsibilities, and reported benefits consistent across them becomes a recurring burden. The buying decision should depend on whether it reduces that coordination effort.
Request written confirmation of how your data is handled by Selqadra AI and any underlying AI providers, including training use, retention, and deletion. This should be resolved before confidential client documents are uploaded.
Treat AI output as a draft for consultant review. Process findings, root-cause hypotheses, and benefit estimates should be checked against engagement evidence before being presented to clients. Your team remains responsible for the final recommendation.
Still weighing it up? book a walkthrough or send us a message — we’ll answer with care and clarity.
