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Agentic AI

From copilots to autonomous agents - Enterprise AI that acts, learns, and delivers

Why Agentic AI, and why now?

The enterprise is at an inflection point - legacy infrastructure, fragmented delivery pipelines, and rising performance demands are converging with a new era of intelligent automation. Copilots and isolated AI models cannot fully deliver the scale, context, or business-critical outcomes that most modern enterprises require.

Torry Harris’ Agentic AI services are built for the realities of enterprise IT - outcome-first, modular and embedded across every layer of decision-making. Governed by enterprise-grade controls and our proven accelerators such as AI Factory, SDLC.ai, and Ops.ai, we industrialize agentic intelligence to deliver practical efficiencies. Our agents operate within your environment, adapt to real-time telemetry, and deliver measurable results - whether modernizing legacy platforms, accelerating delivery, automating testing, optimizing IT operations, or enhancing customer engagement.

Built on decades of experience in integration and platform engineering, our multi-agent frameworks our multi-agent frameworks align automation directly with measurable business KPIs - helping you move from keeping pace, to setting it.

Approach

Modernize

Deliver

Operate

Test

Engage

Offering

Agentic Modernization-as-a-Service (A-MaaS)

SDLC.ai + TuringBots Workflows

AI-powered AIOps & 4Sight

TuringQA Autonomous Testing Framework

Marketplace & CX Agents

CXO Benefit

50% faster legacy transformation

faster feature delivery

40% reduction in MTTR

70% quicker regression cycles

improvement in buyer/seller activation

Enterprise outcomes that matter

Speed

Accelerate delivery with intelligent automation

Speed

Embed TuringBots and AutoFlow pipelines into SDLC.ai lifecycles for APIs, web apps, data pipelines and microservices to turn requirements into tested, deployable software in weeks - not quarters - with minimal manual effort.

Cost

Optimize model and resource efficiency

Cost

Reduce operational overhead with token-aware orchestration, zero-rework pipelines, and open-model routing that balances performance with compute cost - ensuring scalable AI doesn’t come at the expense of budget predictability.

Scale

Design for enterprise-wide extensibility

Scale

Operationalize and govern agentic workflows across business domains using AI Factory and Ops.ai. These platforms enable reuse, observability, and policy control - allowing AI to evolve with your systems, not around them.

How we support your goals with Agentic AI

We don’t sell black-box AI - we build agent ecosystems that are observable, explainable, and outcome-tuned.

Modernization doesn’t need to be expensive - or disruptive. Torry Harris’ Agentic Modernization-as-a-Service (A-MaaS) uses autonomous AI agents to deconstruct, re-architect, and re-platform your legacy systems - at a fraction of the time and cost.

Agentic Modernization Journey:

  • Decompose & document: Agents extract logic, map interdependencies, summarize legacy routines
  • Blueprint the target: AI designs phased, cloud-native architectures using real-world telemetry
  • Migrate & validate: Agents auto-map data schemas, simulate workloads, and ETL with built-in validation
  • Test & optimize: AI generates regression tests and compares legacy vs modern system behavior
  • Self-improve: Agents monitor and auto-remediate performance issues post go-live

Accelerators:

  • TuringBots: Automate code summaries, re-architecture, ETL, and testing
  • AI Factory: Low-cost teams implementing central agent orchestration and knowledge base
  • 4Sight: Observability and performance monitoring

Outcome: 50% shorter modernization timelines - 18-month modernization down to 9 months, 30–40% Opex reduction, Zero business disruption via progressive cutover strategy, Explainable AI for risk-aware migration

From requirements to deployment, we - streamline delivery by embedding TuringBots - our proven frameworks like SDLC.ai and Ops.ai are deployed across the development lifecycle with zero drift. These modular agents work autonomously or alongside developers - to shift-left planning, automate code generation, enforce governance, and execute intelligent testing and release orchestration.

Why Traditional SDLC Needs Reinvention

  • 30-40% higher design costs due to poor discoverability of software artifacts
  • 50% higher dev costs due to lack of automation in code creation and documentation
  • 60% slower MTTR due to fragmented ITSM handoffs
  • 6000+ redundant DataOps pipelines in typical enterprises driving up costs

Agentic Delivery Flow:

  • Parse specs → Auto-generate stories, test plans
  • Generate code → Human-in-the-loop review
  • Auto-integrate into CI/CD → Deploy & monitor
  • Feedback loop → Refine agents using telemetry

Bonus: TuringBots are domain-trained (e.g., telco, banking) and reusable across pipelines.

Outcome: 3× velocity, 50% lower design and documentation effort, 40% increase in developer productivity, 60% higher release confidence, 70% automation coverage across dev and QA

Traditional enterprise testing is too slow, too manual, and too disconnected from development workflows. Torry Harris’ TuringQA brings Agentic AI into the testing lifecycle - enabling real-time test generation, intelligent regression, continuous feedback loops, and domain-trained QA agents that scale with your business.

TuringQA Components:

  • Test plan generation
  • User scenario modeling
  • Coverage tracking across environments
  • Auto-validation of test cases
  • Defect logging and auto-remediation

Why Choose TuringQA?

Concern TuringQA Resolution
High test debt AI agents generate and update test scripts on the fly
Siloed QA & Dev Integrated pipeline observability from Dev to Prod
Poor UAT visibility Dynamic dashboards and automated user behavior modeling
Long defect resolution Bug traceability with instant RCA and environment insights

Outcome: 70% faster regressions, 40% less QA effort, 50% fewer escaped defects, 100% traceability, Self-learning agents that improve cycle-over-cycle

Modern IT Ops teams are often overwhelmed by fragmented telemetry and mounting SLAs. Torry Harris brings Agentic AI into IT operations through autonomous agents that monitor systems, identify root causes, and remediate issues – with or without human-in-the-loop.

We use AI agents to predict, detect, and resolve issues before they become incidents. Fully integrated with Ops.ai and 4Sight.

What the agents do:

  • Monitor telemetry across infra and apps
  • Spot anomalies with ML-driven time-series forecasting
  • Run auto-resolution playbooks (restart, isolate, escalate)
  • Continuously learn from outcomes to reduce noise

Agentic IT Ops Framework:

Layer Intelligent Capabilities
Telemetry & Signals Agents analyze logs, metrics, traces, and user behavior in real time
Anomaly Detection Pattern-based detection using time-series and machine learning
Root Cause Analysis AI agents trace symptoms to code, config, or infra issues
Autonomous Remediation Execute recovery scripts, restart services, escalate exceptions
Continuous Optimization Feedback loop refines incident patterns and playbooks

Outcome: 60% faster incident triage, 80% reduction in false positives, 40% lower MTTR, Always-on improvement via closed-loop learning

Customer expectations are evolving - your AI should, too. Torry Harris deploys AI agents that power contextual, omni-channel customer interactions across voice, chat, email, and apps - trained on real-time data, intent, and sentiment.

How It Works

  • Integrates with CRM, ticketing, and ERP systems
  • Trained on enterprise context, not just LLMs
  • Multi-modal interfaces (voice, chat, visual)
  • Learns from past interactions to optimize future ones

AI Agent Capabilities:

Agent Type Capability Highlights
Support Agents Ticket triage, auto-resolution, escalation routing
Sales Assistants Match products/services to customer goals, generate quotations
Knowledge Agents Auto-create and recommend KB articles, continuously learn from usage
Sentiment Advisors Detect emotion, adapt tone and routing in real time

Outcome: 2× engagement lift, 60% faster support resolution, 35% reduction in first-response time, 20% increase in self-service resolution, 50% improvement in CSAT scores, 30% uplift in lead qualification via AI sales agents

Built on Proven accelerators

vector AI Factory

Orchestrates agents across use cases and data pipelines

vector 4Sight

ML-powered observability & insights for code, APIs, systems

vector SDLC.ai

Agent-driven automation across software delivery

vector Ops.ai

Connects telemetry, triage, and self-healing workflows

vector TuringBots

Custom agents trained for your domain and business context

Our AI Transformation Partners

  • Snowflake
  • AWS
  • Azure
  • Google
  • Databricks
  • Boomi
  • Workato

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