Deterministic AI agents that continuously track KPIs, diagnose root causes, and execute the next best action — without hallucination.
Why It Matters
Most organisations generate more operational data today than at any point in history. Yet the majority waits — in historian systems, ERP modules, and dashboards — for someone to interpret it.
Organisations invest heavily in BI tools that nobody acts on. Low adoption, high overhead, and zero measurable business impact. Data is visible — but intelligence is absent.
Every significant decision passes through a manager who must gather data, build context, and make a call — manually. As operations scale, this bottleneck compounds into days of lost time.
ERP, MES, LIMS, and operational platforms run in silos. No unified intelligence layer connects business signals to decisions — and no one owns the gap.
What We Offer
We map your AS-IS operations and design the TO-BE workflows before a single agent gets built.
Deployable agents for Strategic Action Intelligence, Production Scheduler, and Sales Yield Maximizer.
Purpose-built, deterministic agents engineered around your data architecture and business rules.
Platform Capabilities
Each agent is tenant-scoped and governed by role-based access controls. Every action is logged for full auditability. High-impact decisions require human authorisation before execution — the speed of autonomous intelligence with the control your operations demand.
Autonomously maximises revenue from your loan and mortgage pipeline by identifying high-conversion leads, guiding deal progression, and scoring resource allocation in real time.
Optimises production scheduling across resources, capacity, and floor constraints — adapting dynamically as conditions change without waiting for manual replanning.
Aligns consumption with tariff windows and carbon targets. Identifies load-shifting opportunities before peak windows, flags waste by asset and zone in real time.
Watches every batch against specification in real time. On SPC breach or out-of-spec result, quarantines and traces root cause before a quality manager opens their screen.
Each agent operates exclusively within your data environment. No cross-tenant data access, ever.
Every action, recommendation, and decision logged to a persistent audit trail. Complete traceability from trigger to outcome.
High-impact actions don’t execute without authorisation. You define the thresholds. The agents respect them.
Our Approach
Seven disciplined steps from AS-IS reality to a governed, ROI-ranked execution plan.
Maps current workflows, steps, and individual tasks.
Improves existing workflows before introducing automation.
Scores manual interventions by frequency, effort, and data quality.
Details projects against clear quantitative and qualitative metrics.
Outlines project-level investment, business impact, and expected returns.
Designs optimized future-state workflows, steps, and tasks.
Plots the timeline and execution phases for proposed projects.
Industries We Serve
Designed for asset-intensive, data-rich environments where the cost of a wrong decision is measured in downtime, waste, and safety risk — not just revenue.
Production planning, quality inspection automation, and waste reduction through AI-driven scheduling and real-time defect detection on high-speed print and packaging lines.
AI agents for loan pipeline management, sales yield optimisation, and risk-aware deal guidance — driving conversion and revenue across retail and commercial banking operations.
Intelligent underwriting support, claims triage automation, and proactive customer engagement agents that reduce cycle time and improve portfolio performance.
Multi-site IIoT across active mines and processing plants. Distributed sensor networks to AI-driven production intelligence across India and Southeast Asia.
Kiln optimisation, raw material variability management, alternative fuel blending, and autonomous quality control. Significant energy and emissions reduction through GenAI-powered process optimisation.
End-to-end IIoT covering OEE monitoring, predictive maintenance, quality traceability, and connected shop floor management with SAP S/4HANA and MES integration.
Proven Impact
Better planning, material availability, and proactive decision-making. Higher output per labour hour, significantly reduced idle time and production loss.
Automation, energy optimisation, and leaner workflows deliver direct and compounding savings in labour, energy, and materials.
Predictive material planning and intelligent stock management release 8–12% of working capital that would otherwise sit as buffer inventory.
Figures based on prior engagements in industrial manufacturing. Actual outcomes depend on operational context and engagement scope.
Why QBC
Most consultants hand you a roadmap and leave. Most vendors hand you a platform and leave. QBC does neither.
Deep cross-disciplinary expertise spanning industrial consulting, process engineering, data strategy, AI architecture, and enterprise finance. We understand both the OT environment and the boardroom.
We define your roadmap, deploy the technology, integrate your data, train your teams, and monitor until results are measurably achieved. One partner. End-to-end accountability.
Every engagement designed around your plant, your constraints, your data maturity, and your growth ambitions. We build around your operations — not the other way around.
Operations, quality, maintenance, inventory, and finance — all integrated for seamless visibility and decision-making from shop floor to C-suite.
Every architecture decision evaluated against its cost profile and expected return. Our engagements target positive ROI within 12 months with measurable milestones at every phase.
Technology Partner
Lemmata unifies traditional Business Intelligence and AI agents on a single governed data foundation — enabling organisations to move beyond static dashboards by embedding purpose-built AI agents directly within the analytics environment.
Through our partnership, QBC helps organisations design, deploy, and operationalise AI agents aligned with their business processes, data architecture, and strategic objectives.
Agents continuously analyse enterprise data, detecting patterns and anomalies across your full data landscape in real time.
Move from static reporting to dynamic, purpose-built recommendations that support faster, data-driven decisions at every level.
Reporting, analytics, and AI intelligence on a single governed foundation — eliminating fragmented analytics workflows entirely.
Dramatically reduce the time between a business event and the action taken — across every department and tier of leadership.
The Team
Three co-founders. Collectively bringing 18–20+ years of expertise each, across industrial operations, AI, data engineering, sales, and strategic consulting. Small by design. Accountable by commitment.
20+ years specialising in greenfield turnkey projects under BOT format — solving complex industrial challenges in cement, mineral processing, and sustainable energy.
18+ years of expertise in building enterprise-scale AI Ready Data Engineering, Technical Architecture, and AI solutions. Specialises in designing high-performance data pipelines and multi-tenant governance models that bridge the gap between complex industrial telemetry and executive-level insights.
20+ years in data, analytics, and fintech — leading operations, driving transformation, building analytics teams, and advising startups on strategic growth.
Whether you are exploring Agentic AI, building an IIoT foundation, or transforming a specific operational challenge — the conversation starts here.
We work with a focused number of clients at any time to ensure delivery quality. If you are evaluating partners, let’s talk early.