What is AI automation consulting?

AI automation consulting is a professional service where experts audit your business processes, identify repetitive tasks that can be automated using artificial intelligence and large language models, and then design, build, and deploy custom AI systems to eliminate that manual work. Unlike off-the-shelf tools like Zapier or UiPath, AI automation consulting delivers systems tailored to your specific infrastructure, security requirements, and operational needs.

How much does custom AI automation cost?

Custom AI automation costs vary based on complexity, integrations, and scope. A discovery engagement typically takes 1-2 weeks. Custom builds range from 4-12 weeks depending on the system. Ekko Innovations offers discovery consultations, fixed-scope builds, and ongoing maintenance retainers. Contact us for a custom assessment.

What is the difference between custom AI automation and no-code tools like Zapier?

No-code tools like Zapier and Make connect pre-built app integrations with simple triggers. They work for basic workflows but cannot handle complex decision-making, unstructured data processing, or multi-step reasoning that requires AI judgment. Custom AI automation uses large language models and agentic architectures to automate processes that require reading, reasoning, and decision-making — work that was previously impossible to automate.

What industries does Ekko Innovations serve?

Ekko Innovations serves businesses across every industry with repetitive, manual processes. Current focus areas include IT operations, cybersecurity, healthcare, finance, legal, insurance, and logistics. Our technology-agnostic approach means we build systems tailored to any industry's infrastructure and compliance requirements.

Agentic AI refers to AI systems that can autonomously plan, reason, and execute multi-step tasks — going beyond simple prompt-response interactions. Agentic AI systems use tools, make decisions, and take actions based on context and goals. Ekko Innovations builds agentic AI workflows using frameworks like LangChain and LangGraph to automate complex business processes that require judgment and decision-making.

Case Study — DATES

How We Cut Security Triage Time by 91% and Returned 21 Hours a Month to the Team

A production case study: AI-powered security operations automation deployed for a managed security and IT services provider

The Problem

The Challenge

A managed security and IT services provider. Two analysts. Over 1,000 endpoints. 80+ security tickets every month. And 22 minutes of manual work per ticket just to triage — before remediation even started.

Only high and critical severity tickets received full investigation — medium and low severity were largely ignored
~50 tickets per month received zero investigation. Not by choice. By bandwidth.
22 minutes of manual work per ticket just to triage: threat lookups, cross-referencing, verdict, documentation — before remediation even started
29 analyst-hours per month consumed by triage alone. That’s nearly a full work week, every month, just to sort tickets
No audit trail for compliance review — every decision lived in someone’s head

50 uninvestigated alerts per month isn't a risk being accepted. It's a risk that can't be seen. The threat that slips through is always the one nobody had time to look at.

The Answer

The Solution: DATES

Defendify Automated Triage, Escalation & Suppression

An AI-powered Tier 1 security analyst that works alongside the human team. It handles the research and triage grunt work so your analysts can focus on what actually requires human judgment: complex investigations and remediation.

Automated threat research across CrowdStrike, VirusTotal, MITRE ATT&CK, and device health — simultaneously, in seconds

Intelligent triage with severity assessment, response playbook selection, and escalation routing. Every ticket gets a tailored investigation, not a hardcoded query

7-dimension confidence scoring — the system quantifies exactly how certain it is and tells you why, so your analysts review with full context

Automated escalation — if nobody reviews within 15 minutes, the next person up is notified automatically. Nothing falls through

Full audit trail — every decision logged for compliance. No more verdicts that live only in someone’s head

Transformation

Before & After

Manual Steps

01Ticket arrives
02Read & interpret
03Search threat databases
04Check device health
05Check for related alerts
06Compile findings
07Make the call
08Write up & escalate

~22 minutes. Manual. Repetitive.

Human Touchpoints

01DATES auto-picks up ticket
02AI researches all sources in parallel
03AI verdict + confidence score
04Analyst reviewsHuman
05Analyst approves or adjustsHuman
06Moves to remediation

60 seconds of AI work + 5 minutes of human review.

8 manual steps became 2. Research became review.

Architecture

How It's Built

DATES Engine

Web dashboard
AI decision engine
Research workflow
Response playbooks
Confidence scoring

Credential Vault

Completely separate service holding all third-party API keys. The analysis engine never has direct access to credentials.

Isolated by design

Even if the main system were compromised, third-party credentials remain isolated.

Containerized deployment (Docker)

identical behavior in dev and production

Private AI model endpoint (Azure AI Foundry)

company data never used for training

Cloud hosting with infrastructure as code

fully automated setup

227 automated tests

Integrations

Enterprise Tool Integration

DATES integrates with the tools the organization already uses — not a black box, but a system that works within the existing security stack.

CrowdStrike Falcon

Active detections, host info, fleet-wide threat search

VirusTotal

File hash lookups, IP/domain reputation

Endpoint Central

Device health, patch status, security posture

Jira

Auto-create tickets with analysis results

Microsoft Teams

Real-time escalation notifications

Alerts and AI-generated executive digests

Impact

The Results

Numbers first. Then what they actually mean.

Metric	Before	With DATES
Triage time per ticket	~22 min	~60 sec AI + ~5 min review
Monthly triage hours	~29 hrs (80 tickets)	~8 hrs (review only)
Cost per ticket	~$13.50 (at $36/hr)	~$0.003 AI + review time
Coverage	Highs/Criticals only (~30)	All severity levels (80+)
Audit trail	None	Complete

0 hrs

analyst hours back every month

previously uninvestigated tickets now fully triaged

audit trail — every decision logged for compliance

What's Next

The Roadmap

Phase 1: Observe

Now

Every ticket fully investigated. No more coverage gaps. Patterns tracked. Confidence calibrated against analyst feedback.

Phase 2: Decide

Growing

Historical pattern matching sharpens verdicts. False positive rates drop. The system accumulates institutional knowledge your analysts would otherwise carry in their heads.

Phase 3: Act

Future

Automated remediation for high-confidence verdicts: device isolation, user lockout, patch deployment. Human approval required for anything below confidence threshold. Speed without recklessness.

DATES isn't just a triage tool. It's the foundation for a security operations center that gets smarter every week.

Your operations have the same kind of waste. Let's find it.

Every team has processes burning hours that machines should handle. Talk to an expert and find out exactly where yours are.

Book a Discovery Call

Metric

Before

With DATES

Triage time per ticket

~22 min

~60 sec AI + ~5 min review

Monthly triage hours

~29 hrs (80 tickets)

~8 hrs (review only)

Cost per ticket

~$13.50 (at $36/hr)

~$0.003 AI + review time

Coverage

Highs/Criticals only (~30)

All severity levels (80+)

Audit trail

None

Complete