Golden Gate Bridge, San Francisco
AI Workflow Readiness · Kyklos360

The platforms work.
The agents don't.

TekCapitol fixes the data readiness layer — entity resolution, validation, semantic context, governance — so AI agents reach production on Snowflake, Databricks, Salesforce, and SAP. Then we build and govern the workflows on top.

See if we're a fit → See How Kyklos360 Works
88% of AI pilots never reach production
15% of enterprises are truly AI-ready
3 wks to know exactly what's blocking you
The Problem

The platforms work.
The agents don't.

You invested in Snowflake, Databricks, Salesforce, or SAP. Pipelines succeed. Dashboards load. But AI agents still can't reliably use that data — because the data readiness layer was never built.

🔗
Disconnected Identity
"Customer" in your CRM. "Client" in your ERP. Your agent thinks they're two different people. No prompt engineering fixes this.
⚠️
False Validation
Your pipeline ran successfully. The data is still wrong. ELT validates schema — not business logic. Agents treat every row as ground truth.
📄
Locked Knowledge
Your institutional knowledge lives in PDFs, contracts, and reports. No ELT tool indexes documents for agent retrieval. That layer was never built.
🎯
No Workflow Design
Orchestration platforms execute workflows. They don't design them. Most companies buy the platform before answering what the agent should actually do.
📡
Zero Monitoring
Data drifts. Schemas change. Business rules evolve. Your agent doesn't know. Without monitoring, you find out something went wrong when a customer calls.
🔒
No Governance
Once agents can write records, trigger orders, and send emails — who gave it access? What did it change? Can you prove it? Most teams never ask until something breaks.
Kyklos360®

AI Workflow Readiness across
your existing data platforms.

Kyklos — Greek for cycle. Six steps that take your existing data environment from scattered and unvalidated to production-ready for AI agents. One outcome: AI workflows your business can trust.

Your Existing Platforms
Databricks
Snowflake
Salesforce
SAP / NetSuite
SharePoint
APIs & Documents
Data Warehouses
readiness
by TekCapitol
Assess
Connect
Validate
Transform
Orchestrate
Monitor
Outcome
Trust
AI workflows your business can rely on
production
Production AI Workflows
AI Agents
Automation
Dashboards
Copilots
Insights
Technical Depth
Want to see exactly how we build this?
Real-time pipelines, RAG infrastructure, preprocessing steps, and the full tool stack — explained in plain English.
Our Technical Approach →
How It Works

Three steps from pilot
to production.

We fix the data foundation. We build the governed AI workflows on top. No 18-month engagement. No platform replacement. End to end — on what you already have.

1 🔍
Assess AI Workflow Readiness
A 3-week deep audit of your existing data environment. We map every source, identify every gap, and score your readiness across all six Kyklos360 dimensions.
Data quality scoring across all sources
Identity resolution gap analysis
Document & unstructured data audit
Prioritized roadmap delivered
2 🔗
Integrate with Existing Platforms
We clean, connect, validate, and transform your data layer — without replacing your existing investments. Your platforms stay. We make them agent-ready.
Entity resolution across systems
Vector embeddings & RAG setup
Business logic validation rules
Real-time sync architecture
3 ⚙️
Operationalize AI Workflows
We design and deploy governed AI workflows — agents, automation, copilots — with access controls, human approval gates, audit trails, model routing, and kill switches built in from day one. Not bolted on after.
Multi-agent workflow design & deployment
Model routing map — right model per task
Human-in-the-loop approval gates
Kill switch, rollback & audit trail
Governance & audit infrastructure
Who This Is For

Already on the platform.
Not yet in production.

TekCapitol serves mid-market companies that invested in data infrastructure and now need someone to make AI workflows actually run on it.

❄️ Snowflake
🔶 Databricks
☁️ Salesforce
🔷 SAP
📗 NetSuite
📘 SharePoint
🔌 Any data warehouse
✓
You have existing data platforms but AI workflows haven't reached production
✓
You don't have an internal data engineering team to operationalize AI
✓
You can't justify an Accenture or Deloitte engagement at $1M+
✓
You've run AI pilots and they haven't moved to production
✓
You want to know exactly what's broken before spending more on AI
✓
You need a partner, not a platform vendor or a slide-deck consultant
Start Here · Know Before You Invest More
3-Week AI Agent Risk &
Readiness Assessment

Map your data readiness layer before the next AI budget cycle — Kyklos360 scores, Agent Risk Register, prioritized roadmap, and draft security questionnaire answers. On your terms. With time to fix what we find.

Scope varies based on number of platforms and environment complexity. Most assessments fall between $15,000 and $25,000. You keep every deliverable regardless of what you decide next. We confirm scope and price in a 30-minute call before any commitment.

What You Get
📋 Kyklos360 Readiness Report — environment scored across 6 dimensions with specific gaps identified
⚠️ Agent Risk Register — every agent mapped to its access, action, audit, recovery, cost and approval risk — rated High / Medium / Low
🗺️ Prioritized Roadmap — exactly what to fix, in what order, with effort and impact estimates
🎯 30-minute leadership readout — delivered to your team at end of week 3
✓ You keep everything — regardless of what you decide next
📝 Draft answers to the 20 most common enterprise AI security questionnaire questions — based on your actual environment
🔧 Vendor recommendations — specific tools to close each gap identified
💰 Implementation cost estimate — so you know exactly what comes next
🎤 Full day workshop readout with your leadership team
📊 Executive presentation deck you can share internally
What Happens If You Skip It
Security and procurement will ask about agent access, audit trails, and data handling — usually right when you're trying to move from pilot to production.

Three weeks now. Or six weeks of damage control later.
We work across SaaS, fintech, and enterprise technology — anywhere AI agents are being deployed on top of existing data infrastructure.
$15,000 – $25,000
Scope-based · 3 weeks · No surprises
Book the Assessment
Or email info@tekcapitol.com directly
Not ready to book yet?

See exactly what you get. Our sample report shows a real engagement — scored across all six dimensions, full Agent Risk Register, prioritized roadmap, and draft security questionnaire answers.

Send Me a Sample Report →
We reply within one business day.
About TekCapitol

Silicon Valley based.
Mid-market focused.

TekCapitol is a technology services firm helping mid-market teams move AI agents from pilot to production. We work at the intersection of data engineering and AI — fixing the data readiness layer on infrastructure you already have, then building and governing the workflows on top.

We don't replace your data team or sell new platforms. We make what you have agent-ready — entity resolution, validation, semantic context, governance — then operationalize production AI workflows.

San Francisco Peninsula
Founded 2020
USA + India Teams
Kyklos360® Methodology
Golden Gate Bridge, San Francisco — TekCapitol
San Francisco Peninsula
California · United States
A Question We Always Get

Will we need to give you
access to our data?

Yes — and no. You choose the access model you are comfortable with. We have designed the assessment to deliver full value at every level.

Model 01
Metadata Only
We see schemas, field names, and row counts. Never a single row of actual data. Like reading a filing cabinet label without opening the drawer. Covers 80% of the assessment.
Most restrictive
Model 02
Read-Only VDI
Client provisions a locked virtual desktop inside their own network. We log in remotely and see data on screen. Nothing can be downloaded or extracted. You control the environment.
Most common
Model 03
Client Laptop
A member of your team controls the keyboard throughout. Our engineer directs what to look at. Data never leaves your control. Full assessment delivered with zero external access.
Maximum control
Model 04
Credentialed Access
Read-only service account scoped to specific schemas. Standard practice for IT services engagements. Monitored, audited, and revocable at any time. Same model used by every major consulting firm.
Standard practice
Before Any Engagement Starts
NDA
Non-disclosure agreement. Everything seen is legally confidential. Signed before we look at anything.
MSA
Master services agreement covering liability, intellectual property, and data handling obligations.
DPA
Data processing agreement specifying exactly what data is accessed, how it is stored, and how it is deleted after the engagement.
The Honest Comparison
"Your Snowflake vendor has more access to your data than we will ever need. The difference is we sign an NDA before we look at anything and we work under your security team's supervision."
Every enterprise already shares data with their cloud provider, SaaS vendors, auditors, and system integrators. TekCapitol operates under the same standard — with more explicit legal protections.