Services

What Veloris
actually builds.

Four core services, two engagement models. Built for any team ready to stop doing manually what a machine should be doing.

01
AI Workflow Design
Map, automate, and monitor your highest-cost manual processes
One-Time Build
What this is

Most companies have 3–5 workflows that eat 20+ hours per week across their team — data entry, report generation, approval routing, status updates. We find them, map them, and replace them with AI-powered automations.

This is not "set a Zapier trigger and call it done." We design full multi-step agentic workflows with error handling, monitoring, and fallback logic — systems that survive edge cases and keep running without babysitting.

Stack: n8n, Make, Airtable, OpenAI / Anthropic APIs, connected to your existing tools.

Deliverables
Process audit
Full map of manual workflows with time/cost estimates
Automation roadmap
Prioritized by ROI impact, sequenced by dependency
Built & deployed workflows
3–5 automations fully live in your environment
Error handling & monitoring
Alerts when something breaks, logs for review
Team training
Your team knows how to maintain and extend the system
Full documentation
Decision logic, credentials, architecture map
02
Systems Integration
Connect your tools into a single source of truth
One-Time Build
What this is

Your CRM doesn't talk to your finance tool. Your project tracker doesn't talk to your reporting stack. Every handoff is a copy-paste tax on your team's time.

We build the integration layer that connects your tools, normalizes your data, and keeps everything in sync — so your team sees one clean picture instead of five separate spreadsheets updated by five different people.

Common integrations: Salesforce → Airtable, Notion → reporting dashboards, CRM → invoicing, Slack → task management, any API → anywhere.

Deliverables
Systems audit
Tool inventory, data flows, redundancy map
Integration architecture
Designed before a single line is built
Live integrations
Bidirectional sync or one-way pipelines as needed
Data normalization
Consistent field names, formats, and ID logic
Single source of truth
One place to see what's real across all tools
Maintenance guide
What to do when a tool updates its API
03
AI Agent Development
Custom agents that handle complex, multi-step work autonomously
One-Time Build
What this is

Beyond simple automations, AI agents can read context, make decisions, take actions, and loop back for approval — handling tasks that previously required a human in the middle.

We build agents for inbound lead qualification, client onboarding, internal reporting, research and summarization, proposal drafting, and complex multi-step approval workflows. All using Claude and OpenAI APIs.

Each agent is purpose-built for your specific workflow — not a generic chatbot dropped into a Slack channel.

Example agents we build
Lead intake agent
Qualifies inbound leads, routes to CRM
Onboarding agent
Collects info, creates accounts, sends welcome sequences
Report generation
Pulls data, writes analysis, formats and sends weekly
Research agent
Monitors sources, summarizes findings, flags what matters
Approval agent
Routes requests, tracks status, closes the loop
Custom scope
Have a workflow in mind? We'll scope it together
04
Ongoing Optimization
Monthly retainer — your AI systems never go stale
Monthly Retainer
What this is

AI systems built in January don't look the same in July — your business changes, tools update, new workflows emerge. The retainer means I stay plugged in.

Each month includes a review call, system health checks, fixes and updates, and a development budget for net-new automations or improvements. Think of it as a fractional AI engineer on call.

Available as a standalone option after a project build, or as an ongoing engagement for companies that want continuous improvement.

Monthly retainer includes
Monthly strategy call
Review metrics, discuss next priorities
System monitoring
Proactive checks before things break
Bug fixes & updates
API changes, edge cases, logic errors
New automation hours
Dedicated build time for net-new workflows
Async support
Slack/email for questions and minor requests
Quarterly roadmap
Reprioritize as your business evolves
Engagement models

One-time build or
ongoing partnership

Model 01
Project Build
Best for companies that have a specific problem to solve — a workflow to automate, a system to integrate, or an agent to build. Defined scope, defined timeline, defined outcome.
  • Discovery & scoping workshop
  • Signed scope document before build starts
  • Build & deployment (typically 2–4 weeks)
  • Team training and handoff
  • Full documentation
  • 30-day bug fix guarantee
Starting at $3,500 Scope-dependent · fixed price agreed upfront
Model 02
Monthly Retainer
Best for companies that want a dedicated AI partner — continuous improvement, new automations each month, and someone who knows your systems inside out.
  • Monthly strategy & review call
  • System monitoring & maintenance
  • Dedicated build hours each month
  • Async Slack/email support
  • Quarterly roadmap planning
  • Priority response time
Starting at $2,500/mo Monthly · cancel anytime after 3-month minimum
Ideal clients

Who gets the most
out of working with us

01
Teams buried in copy-paste work
Your team is moving data between tools, updating spreadsheets, and sending status updates that should be happening automatically. We eliminate all of it.
02
Companies with disconnected tools
Your CRM doesn't talk to your finance tool. Your project tracker doesn't update your reporting stack. We build the integration layer so your data moves itself.
03
Any function, any industry
Sales, Finance, HR, Operations, Marketing, Legal — the underlying patterns exist everywhere. Manual data entry, repetitive approvals, disconnected tools. We've automated them all.
04
Fast-moving teams that need to scale
You want to grow output without growing headcount. We build the systems that make that possible — so your team does higher-value work and the machine handles the rest.

Not sure which
service fits?

Book a free 30-minute consult. Tell us what's eating your team's time — we'll tell you exactly what we'd automate, and what we wouldn't.

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