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AI Consulting

Bring AI into your workforce without the chaos.

Snaju Inc helps teams roll out practical AI that saves time, protects data, and actually gets adopted. We focus on real workflows, not hype.

Secure-by-default Production-ready Measurable outcomes
The Business Case

How AI changes the way your team works

AI doesn't replace your team. It removes the friction that slows them down so they spend time on judgment calls, not copy-paste work.

Accelerate repetitive work

Support tickets, document processing, data entry, reporting. AI handles the repeatable patterns. Your team handles the exceptions.

10x faster first response on support queues

Improve consistency & quality

AI-assisted workflows reduce errors, enforce standards, and produce more consistent output across every team member, every time.

40% reduction in process errors

Scale without headcount

Handle growing volume without growing the team proportionally. AI absorbs the increase so your people stay on the work that matters.

3x throughput with the same team size

Keep institutional knowledge accessible

When people leave, their knowledge usually leaves too. AI indexes your docs, repos, and processes so answers are available to everyone, instantly.

80% fewer "who knows how to..." questions

Make faster, better decisions

AI surfaces patterns in your data, summarizes reports, and gives your team the context they need to act without digging through 20 tabs.

60% less time gathering context for decisions

Build competitive advantage

Teams using AI ship faster, serve customers better, and run leaner. The gap between teams that use AI and teams that don't gets wider every quarter.

2x faster delivery cycles for AI-enabled teams
Our Focus

AI adoption doesn't have to stall

Most teams want AI, but they get stuck on the same problems: unclear use cases, messy data access, security concerns, and tools that nobody uses after the demo.

Snaju helps you pick the right workflows, build a pilot that works in the real world, then roll it out with training, governance, and ongoing improvement.

What you get with Snaju

Faster work in repeatable workflows (support, ops, admin, engineering)
Clear guardrails: access control, audit logs, and safe usage policies
A pilot you can actually use, not a sandbox demo
Adoption support: training, docs, feedback loops, and rollout planning
Cost controls and performance tracking from day one
Case Study

DartNode: From 24-hour tickets to sub-hour resolution

How we used AI to overhaul support operations at our own cloud infrastructure brand, and what it means for your team.

DartNode

Cloud Infrastructure • Snaju Brand

The Challenge

DartNode's support team was handling a growing volume of hosting, networking, and infrastructure tickets. Average resolution sat at 24 hours. Customers waited. Simple issues got stuck behind complex ones. The team was stretched thin.

What We Built

  • AI ticket triage that auto-classifies incoming requests by type, urgency, and required expertise
  • Draft response generation pulling from DartNode's knowledge base, runbooks, and past resolutions
  • Diagnostic assistant that correlates symptoms with infrastructure telemetry to suggest root causes
  • Human-in-the-loop review so every AI-drafted reply gets a quick expert check before sending

The Result

The same team now handles more tickets with sub-hour first reply and resolution on most issues. Complex tickets still get human attention. The AI handles context-gathering, diagnostics, and drafting so engineers focus on solving, not searching.

Before & After AI Integration

First Response Time
BEFORE 4.2 hrs
AFTER 8 min
Average Resolution Time
BEFORE 24 hrs
AFTER <1 hr
Tickets Handled / Day
BEFORE ~45
AFTER ~120
Customer Satisfaction
BEFORE 3.6/5
AFTER 4.7/5

AI didn't replace our support engineers. It made them faster. They spend less time searching and more time solving.

DartNode Operations Team

Best Fit

Who this is for

If you're saying: "We want AI, but we don't know where to start," this is for you.

Support & Operations

Teams buried in tickets and repetitive tasks looking to automate triage, routing, and responses.

IT & Engineering

Teams juggling documentation, internal requests, and developer productivity challenges.

Back-Office Teams

Processing forms, contracts, invoices, and approvals with high volume and manual overhead.

SaaS & Services Orgs

Companies that want AI without risking customer data or compliance posture.

Process

Our approach

A simple, proven three-step process from assessment to full rollout.

1

Readiness Sprint

2 weeks

We map your workflows, identify high-ROI use cases, review data access and risk, and give you a clear plan for a pilot.

Workflow mapping & analysis
Risk & data access review
Pilot roadmap delivery
2

Production Pilot

4-6 weeks

We build one use case end-to-end with real integrations, permissions, logging, and quality checks.

End-to-end implementation
Permissions & audit logging
Quality checks & testing
3

Rollout + Enablement

6-12 weeks or ongoing

We expand to more workflows, train your team, improve adoption, and keep everything stable and measurable.

Multi-workflow expansion
Team training & adoption
Performance monitoring
Use Cases

Common wins we deliver

Proven AI use cases that deliver measurable results for real teams.

Support Ticket Automation

Triage, tagging, routing, and draft replies powered by AI with human review.

Internal Knowledge Assistant

Answers questions from your docs with citations, permission-aware and always up to date.

Document Intake & Processing

Forms, PDFs, contracts, claims, and invoices processed with structured extraction.

SOP & Documentation

Generate, clean up, and maintain standard operating procedures and internal docs.

Call Summaries & Action Items

Sales and customer success call summaries with extracted action items and follow-ups.

IT Automation

Troubleshooting assistants, runbook helpers, and automated incident response workflows.

Engineering

AI for engineering teams

We put AI where the work already happens: your issue tracker, repo, CI/CD, and chat. Adoption is natural because it fits into existing tools.

Ticket & Backlog Acceleration

Turn rough requests into clearer requirements, acceptance criteria, edge cases, and implementation notes.

PR & Code Review Support

Generate PR summaries, highlight risk areas, suggest improvements, and reduce reviewer overhead with guardrails.

Test Generation & Reliability

Create test scaffolds, identify missing coverage, convert bug reports into test cases, and reduce flakiness.

Living Documentation

Generate and refresh docs from repo changes, create runbooks, and keep SOPs aligned with the codebase.

Ask the Repo

Engineers query internal docs and repos for answers with citations, permission-aware and context-rich.

Debugging & Incident Response

Summarize logs and incidents, propose likely causes, suggest next steps, and draft postmortems.

Developer Automation

Generate scripts and runbooks, improve CI failure triage, and speed up repetitive engineering tasks.

Security & Dependency Risk

Assist with secure coding checks, summarize dependency changes, and flag common vulnerability patterns.

Governance

Security and governance built in

AI can't be "move fast and break things." We design deployments with guardrails so your team can use AI safely and consistently.

Included in every engagement

Role-based access and permission boundaries
Audit logging and usage visibility
Data handling guidelines (what AI can and can't touch)
Human-in-the-loop review where needed
Rollout policies that make adoption smoother and safer

We can support cloud, hybrid, or private deployment options depending on your needs, and we operate our own infrastructure through DartNode when it's the right fit.

Differentiators

Why Snaju

We're not a slide-deck consultancy. We help you ship AI into real workflows, with the security and reliability needed for production teams.

Practical workflow focus

ROI first, not novelty. We prioritize use cases that deliver measurable value.

Built for real-world constraints

Security, cost, uptime, and adoption are part of every decision we make.

Clear scope and fast timelines

No open-ended engagements. You know what you're getting and when.

Artifacts you can keep

Templates, policies, documentation, and playbooks that stay with your team.

Pricing

Ways to work with us

Readiness Sprint

Best starting point

Fixed-fee assessment of your workflows, use cases, and readiness for AI.

Pilot Build

Fixed-fee

One use case built end-to-end with integrations, permissions, and quality checks.

AI Ops + Enablement

Monthly

Ongoing monitoring, improvements, new workflows, and team enablement.

FAQ

Frequently asked questions

Do you work with our current tools (Microsoft/Google/Slack/Jira/etc.)?

Yes. We meet you where you are and integrate into the systems your team already uses.

Do we need perfect data?

No. We start with what you have and design around reality, including permissions and data quality.

Can this be private or self-hosted?

Often, yes. We'll recommend the right approach based on security needs, latency, cost, and compliance. We operate our own infrastructure as a further option.

How fast can we see value?

Most teams see meaningful results during the pilot phase, especially when we start with one high-impact workflow.

Ready to make AI useful for your team?

Book a short intro call. We'll ask a few questions, identify quick-win workflows, and recommend the best next step.

No pressure. If we're not the right fit, we'll tell you.

Ready to Explore a Relationship?