UK's First Evidence-Governed IT Remediation Platform

Detect Faster.
Remediate Smarter. Risk Lower.

AI Remediation Group is an AI-powered ITSM platform that identifies IT issues, recommends the right actions, and automates remediation across systems, data, and processes with full evidence-gating and governance compliance built in from day one.

42%MTTR Reduction

96.4%Remediation Accuracy

93%Compliance Score

AI Remediation Group · Live Command Centre

AI Remediation Dashboard

LIVE

TD

Total Issues Detected 1,248 ↑28%

AR

Auto-Remediated 842 ↑35%

RR

Risk Reduced 76% ↑18%

CS

Compliance Score 93% ↑6%

42%

Mean Time to Resolve Reduction

Evidence-Gated · AI Governed · Audit-Ready

The UK IT Operations Crisis

UK Enterprises Are Losing Billions to
IT Operational Blind Spots.

The UK IT services market is valued at £120.11 billion yet it continues to struggle with a massive volume of manual incidents. The "Orchestration Gap" where manual monitoring, ticket black-box opacity, and fragmented logs dominate results in an estimated £157 billion in annual UK productivity losses. AI Remediation Group is the live evidence-governed infrastructure that turns fragmented IT data into a coordinated decision layer.

£11K

Per minute of IT downtime every minute of technical failure costs the average UK enterprise massively

47%

Of IT support tickets are submitted outside standard business hours, creating critical support gaps

22%

Of IT staff time wasted on repetitive Level-1 & Level-2 tasks that remain unaddressed by conventional automation

93%

Of successful cyberattacks begin with credential manipulation that current IT service desk tools fail to block

Core Governance Modules

Six Modules. One Complete Evidence-Governed Remediation OS.

AI Remediation Group combines Smart Issue Detection, Root Cause Analysis, Risk-Based Prioritisation, Actionable Recommendations, Automated Remediation, and Continuous Compliance into one unified SaaS platform evidence-gated, real-time, and audit-ready.

Module 01

Smart Issue Detection

Real-time telemetry ingestion and incident data parsing mapped into a machine-executable Incident Intermediate Representation (IIR).

The platform ingests system logs, configuration databases (CMDB), and live telemetry to detect issues before they escalate. AI agents identify hardware failures (31% of downtime), software misconfigurations (27%), and identity-related human errors autonomously and continuously, 24/7.

Module 02

Root Cause Analysis

Automated root cause mapping links disparate symptoms across different silos to identify a single root cause in seconds.

The system uses agentic reasoning to link a slow VPN and a cloud server spike to one root cause instantly. Proactive "Shadow-IT" Detection monitors telemetry patterns to predict and remediate issues before they trigger user-generated tickets.

Module 03

Evidence-Gated Remediation

The EGREE engine synthesizes multi-source evidence to validate ground truth before executing any fix eliminating AI hallucinations.

Unlike chatbots that act on confidence alone, EGREE requires multi-source triangulation real-time telemetry, system logs, and CMDB data before granting execution permission. False positive rate under 1% with Decoupled Confidence-Permission Control Logic.

Full Platform

Six Intelligence Modules.
One Agentic IT Remediation Command Centre.

Every feature is built specifically for the high-pressure UK enterprise IT environment not retrofitted from generic SaaS tools. Our proprietary Evidence-Gated Remediation Execution Engine and multi-agent coordination translate complex IT behaviours into actionable governance KPIs that operators actually need.

Module 01 · Detection

Smart Issue Detection & IIR Engine

Real-time system telemetry ingestion and incident data parsing into machine-executable Incident Intermediate Representation (IIR). Detects 1,248 issues per cycle with 28% improvement vs last month.

The platform continuously monitors hardware, software, and identity layers. Issues are classified by severity High (28%), Medium (47%), Low (25%) and mapped to infrastructure state. Top categories: Access & Identity (32%), Data Quality (24%), Config Drift (18%), Policy Violations (15%).

Module 02 · Analysis

Automated Root Cause Analysis & Shadow-IT Detection

Agentic reasoning links disparate symptoms across IT silos a slow VPN and a cloud spike to identify a single root cause in seconds, preventing escalation before tickets are raised.

The system continuously monitors telemetry patterns to proactively detect unauthorized app usage and misconfigurations. Root cause mapping prevents the same issue recurring by building a permanent institutional memory that survives staff turnover.

Module 03 · EGREE

Evidence-Gated Remediation Execution (EGREE)

The core engine that separates AI confidence from execution authority. System cannot act without verified multi-source evidence eliminating hallucination risk entirely from live IT environments.

EGREE synthesizes telemetry, system logs, and CMDB data before granting execution permission. Low-risk issues like password resets and software patching are resolved autonomously. High-risk actions trigger the AOGM for human analyst approval. False positive rate: under 1%.

Module 04 · AOGM

Analyst Override Governance Memory (AOGM)

When humans override an AI decision, the system captures the governance reasoning not just the fix. This builds a proprietary "Corporate Risk Appetite" dataset unique to each client.

AOGM transforms the service desk role from manual troubleshooting to high-value governance. Analysts "gate" the AI's most powerful capabilities through structured evidence sets (logs, policy links, risk scores). This memory is permanently owned by the client and cannot be replicated by competitors.

Module 05 · PS-RPF

Privilege-Sensitive Resolution Partitioning (PS-RPF)

Creates a secure "DMZ" for high-stakes actions. Automatically identifies tasks involving administrative credentials or security policies and partitions them into a separate workflow requiring Evidence-Clearance.

High-stakes actions modifying firewall rules, granting administrative access, security policy changes are physically and logically separated from general triage agents. This is the technical moat that protects against social engineering attacks that compromise 93% of current breaches.

Module 06 · INAGOE

Governance Output Engine & Audit Shield (INAGOE)

Automatically generates a human-readable "Reasoning Trail" for every action. Ensures EU AI Act Article 12 (Traceability) and Article 13 (Transparency) compliance out-of-the-box.

Every autonomous decision creates a permanent, auditable trail. IT managers can see not just how many tickets were resolved, but the exact reasoning path the AI took. 100% of pilot actions successfully generated multi-source audit logs. Saves compliance teams 10+ hours per quarterly review.

Competitive Edge

Why AI Remediation Group Cannot Be
Easily Replicated.

Our Governance-First architecture is inherently difficult to replicate without access to the proprietary logic gates. Competitors focus on making AI "smarter" we focus on making it "safer."

Feature	Moveworks	ServiceNow	Nexthink	AI Remediation Group
Execution Logic	Probabilistic	Task-based GenAI	Reactive Scripts	Deterministic EGREE
Trust Mechanism	Confidence Scores	Platform Logs	Telemetry Only	DCP-CLM Evidence Gate
Hallucination Risk	High	Medium	N/A	Negligible (<1%)
Regulatory Moat	US Data Privacy	General Compliance	Data Sovereignty	EU AI Act Art. 12 & 13
Human Learning	NLU Retraining	RLHF	Manual Scripting	AOGM Governance Memory
Target Segment	Fortune 500	Enterprise	Mid-Large Enterprise	UK Mid-Market & MSPs
Implementation	High Effort	Heavy Platform Tax	Infrastructure Heavy	SaaS API-First Plug & Play

How It Works

From Ticket to Triage.
Logic to Log. Resolution to Reality.

The AI Remediation platform moves beyond static, manual triage. Every incident flows through our Evidence-Gated architecture from detection to autonomous resolution or governed human escalation with a complete audit trail at every step.

The Remediation Pipeline

Six Steps to Zero-Downtime Operations.

01

Ingest & Detect

Real-time system telemetry and incident data ingested via API from ITSM tools (ServiceNow, Jira), CMDB, system logs, and infrastructure monitoring. The IIR engine parses biological-technical freshness constraints.

02

Analyse & Prioritise

Automated root cause mapping links symptoms across silos. Risk-Based Prioritisation ranks incidents by business impact, compliance risk, and infrastructure sensitivity. Access & Identity, Config Drift, Policy Violations identified first.

03

Evidence Gate Check

The DCP-CLM logic gate independently verifies whether AI confidence and policy-based execution permission align. Without multi-source evidence clearance, no action is executed regardless of AI confidence level.

04

Autonomous Remediation

Low-risk, evidence-cleared issues (password resets, software patching, MFA unlocks) are resolved autonomously. Average MTTR reduction: 42%. Each action generates a real-time audit log via INAGOE.

05

Analyst Override Governance

High-stakes actions trigger AOGM presenting the human analyst with logs, policy links, and risk scores. When analysts override, the governance reasoning is captured, building a permanent Corporate Risk Appetite dataset.

06

Audit & Compliance Trail

INAGOE automatically generates human-readable Reasoning Trails for every action (or refused action). 100% EU AI Act Article 12 & 13 compliant. Audit trails saved compliance teams 10+ hours per quarterly review.

Governance Architecture

Built on a Trust Layer Between
LLMs and Enterprise Infrastructure.

AI Remediation Group acts as a "Trust Layer" between non-deterministic Large Language Models and deterministic enterprise infrastructure a combination not currently available to UK SME or mid-market segments. The platform is Governance-First, not conversation-first.

<1%

False Positive Rate thanks to Decoupled Confidence-Permission logic gate

100%

Of pilot actions generated multi-source audit logs via INAGOE engine

14hrs

Saved per week per support agent on Level-1 triage in pilot deployments

4.6/5

User satisfaction for "Operational Trust" in pilot programme across UK firms

Market Analysis

The UK IT Governance Gap.
A £120 Billion Market Ready to Disrupt.

The global AI in ITSM market grows at 16.72% CAGR but 40% of agentic AI projects are cancelled by 2027 due to poor risk controls. This creates the precise opening for AI Remediation Group's Governance-First approach.

Market Data

Data-Validated Market Opportunity.

Global AI ITSM Market Growth

$12.84B (2025) → $27.81B (2030) at 16.72% CAGR

UK IT Pain Points Distribution

Primary operational pain points for UK IT leaders (2025 survey)

UK IT Remediation Readiness

Current automation maturity of UK IT market

Competitive Capability Radar

Platform capability comparison vs market incumbents

Regional Breakdown

UK Geographic Market Concentration.

London 38.4% Share

Dominant market for high-value AI Remediation. Tier-1 banks, Fintechs, and 60% of FTSE 100 companies. IT support spend 28% higher than national average. Primary target for 42% of UK-based social engineering attacks.

M4 Corridor & South East 21.5%

Second-largest region. Highest concentration of SaaS and hardware companies in UK. MSPs act as "channel partners" for AI Remediation platforms to scale into SME client bases. High regulatory pressure from financial services HQs.

Northern Powerhouse Growing Fast

Manchester and Leeds fastest-growing digital hubs outside London. "North Shoring" of IT operations with 35% annual staff turnover creating urgent need for Agentic AI to stabilise operations and preserve institutional knowledge.

Key Market Facts

The Numbers Behind the Opportunity.

£120B

UK IT services market in 2026 78% have ITSM platforms, 60%+ report weak data governance as barrier to AI production

210M

IT tickets generated annually in the UK per Service Desk Institute with 18-22% classified as "Zombie Tasks"

29.3%

CAGR for "Risk-Aware" AI functions through 2032 outpacing generic automation significantly

£12.4B

Direct cost of avoidable IT friction to the UK corporate sector every year our primary addressable loss

Pricing & Plans

Governance-First. Enterprise-Grade.
Priced for UK Mid-Market.

Three tiers designed to scale from basic triage to full Evidence-Gated autonomous remediation. Start with triage, grow into full governance your trust in the evidence-gates grows with you.

Starter

£500/mo

Basic Triage · Up to 25 endpoints

Multi-Agent Ticket Classification

Triage Dashboards & Evidence Gathering

Basic Root Cause Analysis

ServiceNow / Jira Integration

Basic Audit Logging

Email & Chat Support

Professional & Compliance Services.

Implementation Services

One-time integration with your existing ITSM stack, CMDB, and cloud environments. £5,000–£15,000 per deployment depending on complexity. Includes API configuration and pilot validation.

Governance & Audit Reports

Premium annual subscription for auditable "Reasoning Trails" for AI Act and ESG compliance. £2,000–£5,000 per year per organisation. Includes quarterly compliance review and documentation.

Custom Agent Development

Specialized R&D services to build bespoke "Evidence-Gates" for proprietary or legacy corporate software. £10,000+ per specialized agent workflow. Tailored to your unique infrastructure.

About Us

Built by Someone Who Lived
the Problem Every Day.

AI Remediation Group was founded by Swathi Ginukuntla, a veteran Service Desk Analyst and PMO Analyst who experienced first-hand the operational friction, hallucination risks, and governance gaps that define modern UK IT service desks.

Founder & CEO

Swathi Ginukuntla

Founder & CEO · AI Remediation Group

"We believe every issue has a fix and AI can find it, recommend it, and resolve it. But only when it's evidence-gated, governed, and auditable. That's what we built."

Swathi holds a Master's in Business Information Technology from Edinburgh Napier University and a Bachelor's in Computer Science & Engineering. Her tenure as a Service Desk Analyst and PMO Analyst at Tata Consultancy Services (TCS) provides a rare combination of frontline troubleshooting and high-level project governance expertise.

Having personally managed thousands of Level-1 and Level-2 tickets, Swathi understands the specific incidents where current "black-box" AI fails MFA resets, access provisioning, config drift and designed AI Remediation Group to solve exactly these problems with evidence-gating, not guesswork.

Active Directory ServiceNow Jira Azure DevOps SCCM PMO Governance EU AI Act UK GDPR ITSM Architecture

Our Values

Core Values That Drive Every Decision.

Innovation

Continuous refinement of Ticket-to-Resolution models to stay ahead of volatile cybersecurity threats and shifting infrastructure patterns.

Accuracy

A commitment to technical integrity and the elimination of "remediation-matching" errors in automated IT service delivery through evidence-gating.

Sovereignty

Empowering independent IT teams to own their operational governance logic as a proprietary and permanent business asset.

Efficiency

Making complex multi-vendor infrastructure manageable through machine-executable paths and low-friction API integrations with existing ITSM tools.

Empowerment

Equipping service desk managers with the automated foresight needed to achieve operational stability without headcount-proportional management costs.

Compliance

Building "Auditability by Design" every AI decision traced, every governance override captured, every action aligned with EU AI Act and UK GDPR mandates.

Mission & Vision

From Manual Monitoring
to Automated Orchestration.

Mission Statement

To enable UK IT departments and MSPs to move from "manual monitoring" to "automated orchestration" by leveraging an evidence-aware remediation compiler that eliminates the orchestration gap and protects institutional high-street memory.

Vision Statement

To be the global standard for "Governed IT Orchestration" a future in which IT incidents are automatically synchronized with biological-technical intent and real-time system signals, ensuring continuous digital resilience and zero-downtime operations.

FAQ

Frequently Asked Questions.
Everything You Need to Know.

Common questions from UK IT Directors, Service Desk Managers, and CTOs about the AI Remediation Group platform.

Evidence-Gated Remediation means the AI cannot act on confidence alone. Before executing any fix, our EGREE engine synthesizes multi-source evidence real-time telemetry, system logs, and CMDB data to verify the ground truth. This eliminates "AI hallucinations" (the 15-20% error rate of ungoverned LLMs in technical troubleshooting) from your live IT environment entirely.

ServiceNow is a powerful platform but carries heavy "platform tax" too expensive and complex for UK mid-market. Moveworks focuses on NLU (understanding users) but uses probabilistic confidence scores, not evidence. We use deterministic Evidence-Gating, are specifically aligned with EU AI Act Articles 12 & 13, and deploy as a plug-and-play SaaS API not a multi-year platform implementation.

Yes. The INAGOE engine is specifically designed to meet EU AI Act mandates for "High-Risk AI" traceability (Article 12) and transparency (Article 13). Every autonomous action generates a human-readable Reasoning Trail automatically. The platform also meets UK GDPR Article 22 requirements for automated individual decision-making. Compliance is built in, not bolted on.

Across 5 UK-based pilot organisations over 10 weeks: 96.4% remediation accuracy for Evidence-Cleared actions; 42% average MTTR reduction; 14 hours saved per support agent per week on Level-1 triage; 100% of actions generated multi-source audit logs; 4.6/5 user satisfaction for "Operational Trust"; and audit trails saved compliance teams 10+ hours per quarterly review.

When a human analyst overrides an AI decision, AOGM doesn't just log the fix it records the governance reasoning behind the override. This creates a "Governance Memory" that trains the system on your corporate risk appetite, not just technical steps. This memory is proprietary to your organisation and cannot be replicated by competitors it's permanent institutional intelligence.

AI Remediation Group integrates via API-first design with ServiceNow, Jira Service Management, Azure DevOps, Freshservice, and Zendesk in Year 1. The platform uses pre-configured "Integration Blueprints" sector-specific templates that keep onboarding costs low. Self-Service API integration enables IT departments to onboard their own telemetry sources in days, not months.

Privilege-Sensitive Resolution Partitioning (PS-RPF) processes sensitive data locally where possible. All cloud-based benchmarking uses the Community Governance Network (CGN) for anonymised, aggregated learning your sensitive infrastructure data is never centralised or shared. The platform is Cyber Essentials Plus compliant and aligned with UK GDPR data minimisation principles.

Yes. We offer a 14-day "Shadow Pilot" during this phase, the AI maps evidence to incoming tickets in the background without executing fixes, demonstrating a measurable 40% potential MTTR reduction to stakeholders before any paid commitment. Following this, formal pilot deployments run for 10 weeks with KPI tracking for MTTR reduction, governance compliance, and user satisfaction.

Contact Us

Request a Demo.
Start Your Governance Journey.

Speak to our team about a 14-day Shadow Pilot, full platform demo, or pilot programme. We serve UK enterprise IT departments, MSPs, and regulated firms in Finance, Legal, and Healthcare.

Email airemediationgroupuk@outlook.com

Headquarters London & Edinburgh, United Kingdom

Response Time We respond within 1 business day to all demo requests

Compliance UK GDPR · EU AI Act · Cyber Essentials Plus · ISO 42001

Pilot Programme Results

MT

MTTR Reduction42% avg

RA

Remediation Accuracy96.4%

GI

Governance Integrity100%

US

User Satisfaction4.6/5

Request a Demo

Start with a 14-day Shadow Pilot no commitment required

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What's Your Biggest IT Challenge?

UK GDPR Compliant · Your data is never sold or shared

Detect Faster. Remediate Smarter. Risk Lower.