Lighter Physician Workload
Agentic AI
Smarter workflows powered by autonomous, goal-driven AI
Agentic AI thrives in the messy middle, where problems rarely fit neatly into a model, by stitching together people, tools, and processes into purposeful outcomes. Complexity is not the enemy, it is the raw material for learning. Agentic AI turns that complexity into clarity, creating workflows that are not just efficient but adaptive, intelligent, and continuously evolving.
Our Work in Action
Ulcerative Colitis Severity Assessment Powered by Vision Models
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90%
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Higher
Chance of Drug Approvals
GenAI Solution Lifts Customer Sentiment for Global Tech Brand
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6%
Lift in Brand Sentiment
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15%
Increase in Repeat Purchases
Boosting Marketing ROI with GenAI
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15-20%
Increase in Marketing Productivity
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18%+
Enhanced Marketing ROI
Why Questions are the Operating System
Most failures come from answering the wrong question efficiently. We prevent that with a question-first design.
Clarifying Questions
Set the frame so the work cannot drift. We capture scope, policy, risk appetite, decision rights, and success criteria as machine-readable artifacts.
- Translate business intent into objectives, KPIs, and guardrail rules.
- Map data eligibility, privacy limits, and allowed tools.
- Define who approves what and on what evidence.
- Output: a question spec and policy store that every agent reads.
Diagnostic Questions
Explain what changed and why so actions target causes, not symptoms.
- Build signal libraries and anomaly detectors tied to events and cohorts.
- Run causal drills and counterfactual checks to isolate drivers.
- Produce root-cause trees with confidence scores and recommended tests.
- Output: narrative diagnostics that flow into next-best-actions.
Predictive Questions
Forecast outcomes and scenarios the business can plan around.
- Generate time-bound “what if” projections with ranges and assumptions.
- Attach cost, risk, and capacity constraints to each scenario.
- Rank levers by expected value and sensitivity.
- Output: scenario packs that feed plans, budgets, and SLAs.
Agent AI the Mu Sigma Way
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Akashic Architecture: Our Decision OS connects questions, data, and action paths. -
Knowledge Graphs: Encode entities, relationships, and policies your agents must honor. -
Question Networks: Structured maps of clarifying, diagnostic, predictive, and normative questions. -
muTalos: Our agent orchestration layer for planning, tool use, evaluation, and safety checks. -
Enquiry Engine: muPDNA and muOBI align outcomes, KPIs, and acceptable risk before launch. -
Governance: Autonomy without discipline is chaos; guardrails turn bold AI actions into trusted outcomes.
How Mu Sigma’s Delivers Value with Agentic AI Solutions
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Agents begin with the right question, then auto-plan, call tools, and close loops across systems. Workflows that took weeks shrink to days. No swivel-chair, fewer tickets, cleaner handoffs. Approvals are requested only when needed, so SLAs are met, cycle time drops, and teams finally ship on schedule.
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Question-first guardrails keep actions aligned to policy and KPIs. Agents verify facts with retrieval, track lineage, and test before changes roll out. Bias metrics and safety checks run continuously. When drift appears, alerts fire, rollbacks trigger, or retraining kicks in. Results stay grounded, auditable, and production ready.
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Every interaction starts by asking who, where, and what matters now. Agents fuse real-time signals, profiles, and knowledge graphs to tailor decisions per customer or segment. Next-best actions adapt by channel, risk, and value. Personalization becomes operational, not cosmetic, improving conversion, retention, and satisfaction without ballooning content ops.
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Scale from one agent to a coordinated team-of-agents. Shared question networks, reusable skills, and standard adapters expand coverage. Governance, observability, and cost controls keep growth sane. Add use cases, not headcount. Multi-model routing, caching, and quotas maintain performance as demand spikes across regions, brands, and business lines
Tooling? Your Choice
We work with your stack: Microsoft Copilot Studio, Azure OpenAI, GitHub Actions, LangChain, CrewAI, Kubernetes, KServe, vector databases, event buses, and core systems. Prefer alternates? We adapt.
Build Autonomous Agents
Turn questions into action and complexity into outcomes. Deploy agents that think, act, and deliver results across workflows and customer journeys with real-world impact.
