WORKFLOW ANALYSIS & AI AUTOMATION

We find what slows your business down.Then we automate it.

We find repetitive work and bottlenecks, then build practical AI automation around the way your team works. Save time, respond faster and stay in control.

Your accounts stay yours Human approval for important actions Documented handover

SEE WHAT AUTOMATION CAN DO

From repetitive work to a clearer process.

Select an example to see what our most capable defined packages can cover. These are illustrative workflows, not results claimed from past clients.

ADVANCED DEFINED PACKAGE EXAMPLES

See automation in action

Illustrative scopeLead + Booking
  1. Lead captured

    One form feeds one CRM with duplicate checks and a team alert.

  2. AI scores priorities

    One agreed scoring rubric flags leads for human review.

  3. Your team reviews

    A person reviews the score and agrees the next step.

  4. Booking connected

    One booking source and calendar use confirmation checks.

  • Less repetitive work
  • Faster responses
  • Your team stays in control

SIX SERVICE CATEGORIES

Start with the work that needs attention.

Practical starting points for recurring bottlenecks. Each option can be scoped to your tools, volume and review requirements.

01

Sales & CRM

Capture inquiries, update the CRM, identify priorities and connect qualified leads with the next sales step.

The problem: Lead details often arrive incomplete, duplicated, or disconnected from the team’s sales process.

Example packageReviewed Lead Scoring · $1,550See all three options and their boundaries.Estimated delivery: 10–18 business days
View solutions
02

Support & Email

Organize incoming messages, flag urgent requests, prepare contextual replies and route exceptions to the right person.

The problem: Busy inboxes make urgent requests harder to see and consistent answers slower to prepare.

Example packageAssisted Replies · $1,950See all three options and their boundaries.Estimated delivery: 12–25 business days
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03

Internal Knowledge

Help employees find supported answers from approved documents and escalate questions that need human judgment.

The problem: Important internal knowledge is difficult to find and actions across tools can be inconsistent.

Example packageUpdating Knowledge Base · $3,250See all three options and their boundaries.Estimated delivery: 18–25 business days
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04

Content & Research

Turn an approved public source into structured data and reviewable drafts.

The problem: Research and content preparation can consume time while still requiring careful source and factual review.

Example packageReviewed Content Pipeline · $1,650See all three options and their boundaries.Estimated delivery: 12–20 business days
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05

Documents & Back Office

Move records between systems or extract reliable fields from recurring documents.

The problem: Routine re-entry and recurring documents create avoidable handling and review work.

Example packageInvoice Capture · $1,750See all three options and their boundaries.Estimated delivery: 10–18 business days
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06

Channels & Approved Tools

Build focused assistants and connections across messaging platforms, APIs and internal tools.

The problem: Useful assistants need clear permissions, supported channels, and deliberate boundaries before they can be trusted.

Example packageWhatsApp FAQ + Lookup · From $2,000See all three options and their boundaries.Estimated delivery: 15–25 business days
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30 SERVICES AVAILABLE
Process map & proposalClient-owned n8n setupForm capture & alertBooking to CRMOne-way app syncScheduled backupEvent alertDocumented API connectionWorkflow diagnosis & repairError alert & safe retryLead routing to CRMReviewed AI lead scoringMessage sentiment & tagsEmail triageEmail digestHuman-reviewed reply draftsInvoice field extractionContent draft workflowInternal document Q&AOne-source knowledge refreshWebsite FAQ & lead captureTelegram utility botWhatsApp FAQ pilotFlowise-to-n8n webhookOne MCP tool proof of conceptPermitted public-data collectionAgent QA - 25 casesCompare two model APIsReusable n8n JSON templateTeam workflow training

BUILD AROUND YOUR PROCESS

Choose what your workflow actually needs.

Choose from 30 defined services, or describe a process outside the list. We review overlap, integrations and feasibility before confirming the final scope.

  1. 01Describe the bottleneck
  2. 02Choose useful capabilities
  3. 03Review a preliminary brief

COMMON TOOLS & CONNECTIONS

n8nZapierMakeWorkatoPipedreamActivepiecesFlowiseOpenAIChatGPTClaudeGeminiDeepSeekPerplexityMistral AICohereElevenLabsHugging FaceLangChainLlamaIndexPineconeWeaviateQdrantChromaSupabaseMCPGoogle WorkspaceGmailGoogle SheetsGoogle DriveGoogle CalendarGoogle DocsGoogle FormsMicrosoft 365OutlookMicrosoft TeamsOneDriveExcelSharePointPower AutomatePower AppsMicrosoft FormsDynamics 365Microsoft Copilot StudioHubSpotGoHighLevelZoho CRMCloseApolloSlackWhatsApp BusinessTelegramDiscordTwilioIntercomZendeskFreshdeskHelp ScoutNotionAirtableClickUpMonday.comAsanaTrelloJiraTypeformJotformTallyCalendlyStripeShopifyPayPalQuickBooksXeroWordPressWebflowGitHubGitLabPostgreSQLMySQLMongoDBRedisREST APIsGraphQLWebhooksHTTP APIsDatabasesCRMsERPs
Technology names indicate possible integration capabilities, subject to project feasibility. They do not imply official partnerships or endorsements.

FEATURED SOLUTION

Answers from material your team approves.

Help employees find supported answers from a clearly owned source set. Changes to approved documents can be reflected in the knowledge base.

The problem
Answers get harder to find as documents change and questions repeat.
Approved sources
Up to 20 approved clean-text documents, with a maximum of 100 readable pages in total.
Useful answers
Relevant passages support drafts through one agreed Slack or Telegram route.
Human escalation
Unsupported questions and important actions go to a named reviewer.
Explore this solution
Approved documentsOne owned source set
Source updatesChanges reflected when agreed
Supported answerRelevant passages available
Human reviewUnclear cases escalated

A CONTROLLED PROCESS

How Dancing Ghost works

A clear scope, representative samples and defined review points come before implementation.

01

Discover

Understand the current process, tools, examples, volume and intended outcome.

02

Define

Agree scope, acceptance tests, review points, ownership and payment milestones.

03

Build & test

Test normal, invalid, duplicate, ambiguous and failure cases with agreed samples.

04

Handover & improve

Walk through the system, document it and offer bounded monthly care if useful.

DEMOS & WALKTHROUGHS

See how practical automation systems work.

Illustrative workflows show how information could move, where AI may assist and where people stay in control. These are not live client projects.

Illustrative Workflow
Message received → Category and urgency checked → Draft prepared → Person reviews and replies

A reviewable support inbox

Classify one inbox, flag urgent cases and prepare drafts for a person to review.

n8n · OpenAI · EmailExplore example
Prototype
Approved documents → Knowledge index → Supported draft → Human review

Approved knowledge retrieval

Retrieve supported passages and surface questions without a supported answer.

Flowise · Pinecone · TelegramExplore example
Illustrative Workflow
Inquiry received → Fields validated → CRM checked → Team notified

Lead capture with duplicate checks

Validate a submission, check one CRM and route the next step to the team.

Forms · CRM · n8nExplore example

HOW QUALITY IS CHECKED

Built to be reviewed, tested and handed over clearly.

Expected behaviour, exceptions and handover are made visible before a build is accepted.

Clear acceptance criteriaExpected behaviour and boundaries are agreed before implementation begins.
Practical test scenariosWe test agreed normal cases and relevant edge cases, including invalid inputs, duplicates and failures where applicable.
Human review pointsExternal AI replies, publishing and important record changes require human approval unless the written scope agrees otherwise.
Clear handoverClients receive agreed documentation and a walkthrough; confirmed implementation defects are corrected for 30 calendar days after accepted handover.

MEET THE FOUNDER

The person behind Dancing Ghost.

I started Dancing Ghost with a simple belief: businesses should spend less time managing repetitive tasks and more time moving forward.

My work starts with understanding how a team operates, where processes slow down, and which problems are worth automating.

I focus on turning those challenges into practical systems—designed with clear scope, thoughtful testing, and a handover that clients can understand and use.

For me, successful automation isn't about adding AI everywhere. It's about making everyday work easier, more reliable, and more manageable.

Iftisum Shihab, founder of Dancing GhostIftisum ShihabFounder & AI Automation Engineer
Dancing Ghost

FREQUENTLY ASKED QUESTIONS

Before a project starts

START WITH ONE PROCESS

Let’s turn one operational bottleneck into a clear working system.

We will first confirm the process, tools, sample inputs, volume and feasibility—then recommend the smallest useful build.