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xStryk™

Decision Intelligence for AI in production — guardrails, traceability & evaluation.

AI Consulting Services | xSingular

SERVICES

From the framework
to intelligent systems

A critical infrastructure sequence to scale Decision Intelligence in production — powered by xStryk™. Strategy, agent architecture, development, operations, and governance. Every engagement ships with auditable evidence packs, forensic traceability, and measurable outcomes.

01
STRATEGY

Strategy & Use Case Definition

We define where AI creates value and how success is measured. We align constraints, risks, and an executable plan before building anything.

  • Goal, KPIs, baseline, and success criteria
  • Risks, compliance, and operating model (owners + RACI)
  • Release gates: what must pass to ship safely
  • Technical roadmap: data, architecture, dependencies
02
DESIGN

Intelligent Systems Architecture

We architect the complete infrastructure of agents and decision systems: inputs, decision trees, and executable operational limits.

  • Process mapping: users, decisions, and failure modes
  • Outputs, sources, and explicit limits by design
  • HITL design: queues, escalation, QA, evidence
  • Acceptance criteria: edge cases and disallowed behaviors
03
INFRASTRUCTURE

Data Infrastructure & Operations

We prepare data, environments, and deployment so you can run with control: contracts, lineage, pipelines, and continuous evaluation readiness.

  • Batch/stream pipelines, data contracts, quality checks
  • Dataset versioning, lineage, environment reproducibility
  • CI/CD with gates (eval + safety + cost) before shipping
  • Day-1 observability (logs, traces, metrics)
04
DEVELOPMENT

Continuous Evaluation Development

We build ML/LLM and agents with an eval-first approach: suites, regressions, and guardrails so changes ship with confidence.

  • Eval harness per use case: rubrics, metrics, gold sets
  • Guardrails: permissions, policies, approvals for actions
  • API integration + request/decision traceability
  • Simulation and red teaming for abuse and edge cases
05
OPERATIONS

Production Operations

What matters after deployment: monitoring, drift, costs, incidents, and a measurable improvement loop with owners and runbooks.

  • SLOs/SLAs, alerting, dashboards (quality, cost, latency)
  • Drift + degradation detection with actionable triggers
  • Incident playbooks, postmortems, rollback criteria
  • Retraining cycles and validation before shipping
06
CRITICAL OPERATIONS

Critical Operations Transition

We transition intelligent systems to sysadmins and operators. Architecture handover, incident playbooks, and technological appropriation without lock-in.

  • Enablement: guides, workshops, applied training
  • Operating playbooks (roles, approvals, escalation)
  • Technical docs + handover (runbooks, architecture)
  • Adoption + impact measurement (usage, quality, outcomes)
07
SECURITY & GOVERNANCE

Security, governance, and responsible AI

We mitigate novel risks that AI presents. We test explainability and robustness. Custom security features and executable governance.

  • Mitigation of novel AI risks with red teaming
  • Systematic explainability and robustness testing
  • Custom security features per model
  • Executable governance and regulatory compliance
What is xSingular

Applied AI Engineering with a proprietary platform

xSingular combines expert Decision Intelligence, MLOps and AI Safety engineering with xStryk, our proprietary platform. We don't sell APIs or generic models: we design, build, and operate AI systems for our clients' critical decisions.

DEPLOYS ON YOUR INFRASTRUCTURE
AWS
Azure
Google Cloud
Databricks

Compatible with major enterprise cloud providers. No vendor lock-in.

How we work

Four engagement modes

xSingular works with clients in four complementary modes. All technical engagements are backed by xStryk™, our proprietary Decision Intelligence platform. Each engagement adapts to the stage, industry and AI maturity of the organization.

01

AI Advisory & Strategy

Advisory to boards and C-level on AI strategy, AI Governance and Decision Intelligence roadmap. No technical implementation.

  • Executive AI roadmap
  • AI Risk & Governance assessment
  • Decision Intelligence strategy
  • Regulatory alignment and compliance
Request advisory
02

AI Engineering & Delivery

Design, build and deployment of production ML systems. The xSingular team works embedded or in project mode.

  • AI system architecture and design
  • MLOps, XAI and continuous evaluation
  • Production deployment and monitoring
  • Integration with client infrastructure
Request project
03

xStryk Platform Deployment

xStryk™ is the operational backbone of all our technical engagements. Also available as a standalone implementation on the client's infrastructure, with custom configuration, integration and ongoing support.

  • xStryk Engine, Eval, DataOps and Ops
  • Custom configuration and integration
  • Client technical team training
  • Ongoing post-deploy support
Explore xStryk platform
04

Model Auditing & AI Safety

Independent audit of production models, bias evaluation and compliance with AI Governance frameworks.

  • Technical model audit in production
  • Bias and fairness evaluation
  • AI Safety & compliance assessment
  • Documentation for external audits
Request audit
HOW WE WORK

Work pipeline: from idea to operations.

From use-case definition to production system: each stage with verifiable gates, evaluation suites, and auditable artifacts. No improvisation, no surprises.

CROSS‑CUTTING
Transparency and control across the cycle
Evidence packs
Every release comes with verifiable artifacts: metrics, thresholds, regressions, and exit criteria.
Traceability
From data to decisions: logs, sources, and context per request/action for audit and debugging.
Responsible AI (AI Safety)
Executable guardrails: permissions, approvals, limits, red teaming, and rollback criteria.
SCHEDULE A CALL

Book a strategy session

30 minutes to evaluate your use case, define success metrics, and scope the engagement. No commitment.