Non-Technical AI Agents for Your Entire Business

Every department describes what they need in plain language. AI agents handle the rest — no developers, no training, no vendor lock-in. Works with Anthropic, OpenAI, and AWS Bedrock.

WorkflowFiesta
Send the Q3 sales report to the finance team and schedule a follow-up meeting
Report sent to finance@company.com
Meeting scheduled for Oct 15, 2PM
Calendar invites sent to 5 attendees
Ask your agents anything...
Connect any app
Connect any AI model
No technical experience required

Pick Your Department. See Your Workflows.

Every team has repetitive work that eats hours. Below are real examples of how WorkflowFiesta handles them — through conversation.

WorkflowFiesta Agent Active
Generate this week's blog outline based on our content calendar, pull last month's analytics from Google Analytics, compare traffic to the month before, and send the full summary to the team on Slack.
WFF
Done. Here's what I completed:
Blog outline created — 3 posts, topics pulled from your Q2 content calendar
Google Analytics March vs February: Organic traffic +18%
Top post: "AI for Ops Teams" — 4,200 views. Bounce rate improved 3.2%
Summary posted to #marketing on Slack
Full report saved to Marketing/Weekly folder

Your marketing runs on autopilot.

What Marketing teams automate
  • Content calendar management and blog outline generation
  • Weekly/monthly analytics reporting across platforms
  • Competitor monitoring and alerts
  • Social media scheduling and performance tracking
  • Campaign performance summaries sent to stakeholders

Why this matters

Marketing teams spend an average of 8 hours per week manually pulling reports from different platforms — Google Analytics, social media dashboards, ad platforms, CRM. With AI orchestration, the work happens in seconds while you focus on strategy, creative, and campaigns.

WorkflowFiesta AgentActive
Check Salesforce for any deals that haven't been updated in 7+ days, pull the latest activity for each one, and send me a summary with next steps.
WFF
Found 6 stale deals. Here's the breakdown:
Acme Corp ($45K) — Last touch March 22. Follow up on proposal sent 3/20
BlueSky Inc ($28K) — Last touch March 19. Schedule demo for decision maker
4 more deals listed with context and recommended next steps
Summary saved to your Sales/Pipeline folder
Reminder tasks created in your calendar

Your pipeline stays warm without the busywork.

What Sales teams automate
  • Pipeline hygiene and stale deal alerts
  • Pre-meeting research and prospect briefings
  • CRM data cleanup and enrichment
  • Weekly sales reports compiled from Salesforce data
  • Lead follow-up sequences triggered by deal stage

Why this matters

60% of deals stall because follow-ups fall through the cracks. AI orchestration watches your pipeline 24/7 and surfaces what needs attention. Your reps spend time selling, not doing CRM hygiene.

WorkflowFiesta AgentActive
Watch Intercom for new urgent tickets. For any bug reports, create a GitHub issue with the full context and assign it to the engineering team. Send me a daily digest at 8 AM.
WFF
Monitoring active. Here's today's 8 AM digest:
23 new tickets since yesterday
8 categorized as bugs: Login timeout on mobile (3), CSV export missing columns (2), Webhook delivery delay (3)
GitHub issues created for all 8, assigned to engineering with reproduction steps
15 non-bug tickets categorized and routed to appropriate queues

Tickets triaged before your team opens their laptops.

What Customer Success teams automate
  • Ticket triage, categorization, and routing
  • Bug extraction and developer ticket creation
  • Daily and weekly support digest reports
  • Customer health score monitoring
  • Escalation alerts based on sentiment or priority

Why this matters

Support teams lose hours to ticket triage — reading, categorizing, routing, escalating. AI orchestration handles the pattern recognition and routing instantly. Your team focuses on complex customer problems, not sorting through a queue.

WorkflowFiesta AgentActive
Pull this week's progress from our Jira board, summarize what shipped, what's blocked, and what's rolling into next week. Send the status update to all stakeholders.
WFF
Weekly status compiled and sent. Summary:
Shipped this week: 12 tickets — Payment integration v2, Mobile nav redesign, 10 bug fixes
Blocked: 3 tickets — API rate limiting needs vendor response
Rolling to next week: 8 tickets in progress
Status email sent to 9 stakeholders

Status updates that write themselves.

What Project Management teams automate
  • Sprint summaries from Jira, Asana, or Linear
  • Auto-generated status reports for stakeholders
  • Meeting notes converted to tasks and assignments
  • Cross-tool progress tracking and rollups
  • Deadline alerts and blocker escalation

Why this matters

Project managers spend 30% of their time on status updates and report generation. AI orchestration pulls the data, formats the narrative, and delivers it to stakeholders — every week, on time, with zero manual effort.

WorkflowFiesta AgentActive
Monitor our error logs for anomaly spikes. If anything exceeds 3x normal volume, create a PagerDuty incident with context and notify the on-call engineer.
WFF
Monitoring configured. Alert triggered at 3:42 AM:
Error spike detected: 4.2x normal rate on /api/payments endpoint
Root cause correlation: upstream payment provider timeout (503 responses)
PagerDuty incident created with full context and related logs
On-call engineer notified via Slack and SMS

Incidents caught before they page anyone.

What Infrastructure & IT teams automate
  • Log monitoring with anomaly detection
  • Automated incident tickets with context
  • Scheduled health checks across services
  • Cost monitoring across cloud providers
  • Security scan scheduling and alerting

Why this matters

Infrastructure issues at 3 AM get caught by AI before they snowball. Automated monitoring with intelligent alerting means your on-call engineers get paged with context, not noise — and issues get documented automatically.

Plug AI into your existing tools

Pre-built connections for popular apps. API access for everything else.

Slack Salesforce Jira Gmail HubSpot GitHub Google Analytics PagerDuty Slack Salesforce Jira Gmail HubSpot GitHub Google Analytics PagerDuty
Asana Linear Discord Google Calendar Notion Intercom AWS Bedrock QuickBooks Asana Linear Discord Google Calendar Notion Intercom AWS Bedrock QuickBooks
How It Works

Describe What You Need. WorkflowFiesta Builds It.

Four steps from plain-English request to running workflow — no code, no config, no training required.

01
Describe
Tell it what you need
02
Plan
Review the workflow
03
Run
Execute with guardrails
04
Review
Full transparency
WorkflowFiesta
Before & After

Your team spends Tuesday building this.
Or they type this.

Same result. One takes a developer and two days. The other takes 30 seconds and plain language.

Technical Tools — n8n / Zapier
Webhook Trigger
HTTP Request
IF / Router
AI Agent
Code: JS
CRM Update
Set Variable
Slack Notify
Gmail Send
Loop / Merge
Error Handler
11 nodes  ·  2 branches  ·  requires a developer  ·  ~2 days to build
vs
WorkflowFiesta
When a new lead comes in, enrich their data, score them, update the CRM, and notify the sales team on Slack.
WorkflowFiesta
Done. I've built that workflow. Here's what it does:
Webhook receives new lead from CRM
Enriches lead data via API
Scores lead and updates CRM record
Sends Slack notification to sales team
Workflow active  ·  runs automatically on every new lead
Workflows

Set it once.
Run it forever.

Build a workflow in plain language. It runs on a schedule, on a trigger, or on demand — automatically, every time, with a full audit log.

Weekly Sales Digest Active · runs every Monday 7am
Trigger
Every Monday
at 7:00 AM
Agent
Pull pipeline
from Salesforce
Agent
Write executive
summary
Action
Send to
Slack #sales
Schedule
Run at any interval — hourly, daily, weekly, or custom cron.
Webhook
Trigger from any external event — form submit, payment, alert.
Chat
Launch a workflow from any conversation, on demand.
Agent
One agent completes its task and hands off to the next.
Security

AI That Answers to You — Not the Other Way Around

Your business data is too valuable to hand over blindly. Every agent action is governed by rules you set, logged for full visibility, and reversible in one click.

Agent Activity Log Live
Read contacts from CRM Allowed
Send summary to #marketing Allowed
Delete billing records Blocked
PII detected — auto-redacted Redacted
Schedule weekly report workflow Allowed

You set the rules. AI follows them.

No black boxes. No hoping for the best. You define exactly what each agent can and cannot do — before it touches anything.

Granular permissions per agentEach agent only accesses what you explicitly allow. Read-only, write, or fully blocked — app by app.
Complete audit trailEvery action logged — who requested it, what ran, what changed, and when. Nothing happens in the dark.
Active data redactionPasswords, credit cards, PII — automatically detected and scrubbed before they ever reach a model.
One-click rollbackSomething wrong? Reverse any agent action instantly. You stay in control, always.
Multi-Agent Orchestration

One instruction.
A team executes.

A single plain-language request dispatches a chain of specialized agents — each one handling its part, passing results forward, completing in parallel or in sequence.

Director dispatches specialistsOne agent coordinates many — each focused on what it does best
Parallel or sequentialAgents run simultaneously or chain results to the next step
Full audit trailEvery agent call, every handoff, every result — logged and reviewable
WorkflowFiesta Director
Research
Waiting
Writer
Waiting
Sender
Waiting
Analyst
Waiting
Scheduler
Waiting
Data
Waiting
chains →
Real Results

What teams automate in their first week

Not hypothetical. These are the workflows teams build on day one and never touch again.

Marketing

Weekly performance report built and sent automatically. Channel metrics pulled, formatted, and delivered to stakeholders every Monday morning.

3 hrssaved every Monday
Support

200 tickets triaged overnight. Each one categorized, prioritized, and routed. Urgent escalations land in Slack before your team opens their laptops.

200tickets triaged overnight
Operations

Vendor invoices reviewed, categorized, and flagged for anomalies. Your finance team gets a clean summary instead of a pile of PDFs.

<60sper invoice processed

Two phases. One partner.

Start with transformation. Stay on the platform that keeps it running.

PHASE 01

Transformation
Engagement

Scoped per engagement · 4–12 weeks
We audit your workflows, design custom agents, integrate your existing stack, and train your team. You launch with real AI running across your business — built for how your team actually works.
Workflow audit & AI opportunity mapping
Custom agent & workflow design
Full implementation & integration
Team onboarding & training
Launch support & iteration
PHASE 02

Platform
Subscription

$100
/ user
/ month
AI token usage
Full platform access after your engagement. Unlimited agents and workflows, every AI model provider, priority support, and continuous iteration — no feature gates.
Unlimited agents & workflows
All AI model providers
Priority support & dedicated success manager
Audit logs & security controls
Continuous iteration & new workflow builds
+ AI token usage billed separately or through your own provider keys

Questions People Actually Ask Us

AI orchestration is new. Here are the questions that come up in every conversation.

01What is AI orchestration?

AI orchestration is the layer that connects AI models (like Claude or GPT) to your business apps (like Slack, Jira, Salesforce). The AI understands what you want in natural language. Orchestration makes it happen across your tools.

You describe the outcome. The platform handles the how.

02What is the difference between a model, an orchestrator, and a company?

This confuses everyone. Here is the breakdown:

  • Model (Claude, GPT): The AI "brain" that understands language and generates responses
  • Orchestrator (WorkflowFiesta): The platform that connects models to apps and makes them work together
  • Company (Anthropic, OpenAI): The business providing the service

Model = Engine. Orchestrator = Car. Company = Manufacturer. You need all three. WorkflowFiesta is the car that turns the engine into something useful for your business.

03How is this different from Zapier?

Zapier: You map out every step in advance. "If X happens, then do Y." Static workflows with dropdown menus and pre-defined triggers.

WorkflowFiesta: You describe what you want in natural language. The AI interprets your request and figures out the steps dynamically.

WorkflowFiesta interprets the intent, chooses the apps, and adapts based on context. Zapier requires you to specify every detail upfront.

04Is my data safe?

Yes. Encrypted credentials, zero knowledge of your actual data, approval controls for sensitive actions, full audit logs, and revokable access at any time.

Your data stays in your apps. The AI reads and writes using your permissions, just like when you use the apps yourself.

06What if I do not know what to automate?

Start by asking WorkflowFiesta directly: "What can you help me with?" The agent asks about your role, your apps, your pain points, and then suggests workflows based on your answers.

Most customers start with simple reporting and expand from there once they see what is possible.

07How much does AI usage actually cost?

Bring Your Own Model: $0.01 to $0.10 per conversation. Typical 10-person team: $50 to $150/month in AI usage.

Managed: One bill, one vendor. Slightly higher total cost but zero setup. Same orchestration capabilities either way.

See How AI Orchestration Works
for Your Business

You've learned what AI orchestration is. You've seen it working across departments. Now see it with your actual apps, your real workflows, and your team's specific needs.

Connect to apps you already use
Walk through examples from your department
See exactly how conversations become action
Get answers on security, pricing and setup

No sales pitch. Just hands-on look at how AI Orchestration works in practice

Works with Anthropic, OpenAI, and AWS Bedrock. Connects to any app with an API. Full audit trail on every action.