Digital Operations HubOperations · Systems · Automation

AI agents that take whole tasks off your team.

I design and build AI agents that read, decide and act inside the tools you already use, with a person approving anything that matters.

Book a strategy call See related work
What is an AI agent?

An AI agent is software that uses a language model such as Claude or ChatGPT to carry out a task from start to finish: it reads the request, decides the steps, uses your tools and reports back. Agentic AI means giving that agent a goal and the tools to reach it, instead of a fixed script. I build AI agents for small businesses in n8n, Make and Zapier, with human approval on anything that matters.

What is included

What you get.

  1. Use-case mappingWe pick the tasks where an agent will save real time, and the ones that should stay with a person.
  2. Custom AI agentsAgents for lead qualification and follow-up, inbox triage, meeting notes and action items, research and recurring reports.
  3. n8n, Zapier and Make workflowsAgentic workflows built in n8n, Zapier or Make with Claude and ChatGPT, on the platform that fits your budget and stack.
  4. Connected to your toolsCRM, email, calendar, Slack, Google Sheets, Airtable and GoHighLevel, so the agent works with your real data.
  5. Human approval and guardrailsClear limits on what the agent can do alone, with approval steps before anything is sent or changed.
  6. Testing, documentation and handoverEach agent is tested on real examples, documented, and handed over with full access.
Who it is for

This is a fit if you are:

  • Founders answering the same questions and emails every day
  • Teams losing leads because follow-up is slow
  • Businesses already using Zapier, Make or n8n that want to add AI
  • Owners curious about AI agents but unsure where to start
Outcome

What changes for you:

  • Routine tasks handled without you
  • Faster replies to leads and clients
  • AI you can see, check and switch off
  • Agents your team can maintain
Tools
n8nMakeZapierClaudeChatGPTGoHighLevelAirtableGoogle WorkspaceSlackHubSpotPlus many more
Related work

Projects like this one.

OpenAI + n8n

RFP response copilot with source-backed drafts

A team needed to answer detailed RFPs using its past proposals, while making missing requirements and facts easy to catch.

I organized approved proposal material into a searchable knowledge base, mapped each RFP requirement to relevant source content, and built a workflow that drafts responses with references and flags unanswered items for human review.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]A structured response package with traceable source material and clear review points before submission.
AI + Helpdesk API

Customer support assistant with human handoff

A growing service team wanted faster answers to repeat questions without letting an AI guess when a request needed a person.

I prepared an approved knowledge base, connected incoming questions to grounded response drafting, categorized the request, and routed uncertain or sensitive cases to the right team queue with a short conversation summary.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]Routine questions get consistent, source-based replies, while exceptions reach a person with the context they need.
Bland AI + GoHighLevel + n8n

Voice receptionist for estimates and appointment booking

A home services business missed calls while its team was out on jobs and needed callers to book estimates or request a callback.

I configured an inbound voice agent around approved FAQs, service areas and business hours, connected it to the GoHighLevel calendar, and used n8n to save call summaries and create callback tasks when a caller needed staff support.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]Callers can check availability and request an estimate, while exceptions are handed to the team with a summary and callback task.
Claude Code + MCP

Reliable scheduled AI tasks with monitoring and guardrails

A small business relied on scheduled agents for follow-ups and data updates, but runs could skip steps, stall or hit permission blocks.

I reviewed the task prompts and execution flow, split long instructions into focused steps, added clear timeouts and recovery paths, and defined limited permissions and human approval for external actions.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]Scheduled runs have clearer checkpoints, visible failure paths and explicit approval boundaries for actions that affect other people or systems.
AI + CRM + SMS

Lead follow-up and reactivation assistant for a practice

A practice wanted to respond to new inquiries, reconnect with inactive patients and coordinate scheduling without exposing private information to the wrong workflow.

I mapped the approved contact and follow-up stages, connected new inquiries to timely draft responses and reactivation reminders, and routed scheduling or patient-specific questions to staff with privacy-aware handoffs.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]The team has a consistent follow-up path and keeps patient-specific decisions with staff.
LangGraph + RAG

Contract intelligence and risk review workflow

A team needed to review incoming agreements for key terms, obligations and clauses that required a closer look.

I designed a retrieval-grounded review flow that extracts contract sections, checks them against the team’s review criteria, and prepares a concise summary with source passages and flagged items for a human reviewer.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]Reviewers can see the relevant language and outstanding questions in one organized brief before making decisions.
n8n + Apify + OpenAI

AI-assisted talent research and shortlist pipeline

A hiring team wanted to find potential candidates across public sources and compare them against a defined role brief.

I built a research workflow that collects permitted public profile details, evaluates them against agreed criteria, keeps evidence links beside each assessment, and sends uncertain matches to a person for review before a shortlist is shared.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]The team gets a traceable shortlist with criteria and source links ready for human review.
AI + n8n + ClickUp

Meeting and inbox action-routing agent

Decisions and requests arrived through meetings, email and business messages, leaving the founder to capture actions and chase owners.

I connected the approved intake channels to an agent that extracts actionable requests, checks the team’s SOPs to identify a likely owner, and creates a task with context and a suggested deadline for review.

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]Action items arrive in one tracker with their source context, proposed owner and next step ready to confirm.
How it works

The Digital Operations Framework.

01

Audit & Clarity

I review how your business runs and find exactly where it leaks time, money and energy.

02

Strategy & Structure

I design the systems and workflows your business needs for its next stage.

03

Implementation

I build, connect, automate and document everything.

04

Optimization & Monitoring

I refine, track and keep things running as you grow.

Questions

AI Agents & Agentic AI: common questions.

★★★★★
“Emmanuella was great to work with. She stayed on top of things and made sure deadlines were met, which kept the project moving forward. She was clear in her communication and handled any issues that came up pretty well.”
Client, Project Manager for Digital Marketing and DevelopmentVerified review on Upwork
What is the difference between an automation and an AI agent?

An automation follows fixed steps: when this happens, do that. An AI agent is given a goal and decides the steps itself, which lets it handle messy inputs such as emails, documents and open-ended requests. Most businesses need both, and I usually build agents on top of solid automations.

What can an AI agent do for a small business?

Common first agents are a lead agent that qualifies enquiries and drafts replies, an inbox agent that sorts email and prepares responses, a meeting agent that turns notes into tasks, and a reporting agent that compiles a weekly summary from your tools.

Should I use n8n, Make or Zapier for AI agents?

Zapier is the quickest to start with and has the most app connections. Make gives more control for less money as volume grows. n8n is the most flexible for agentic AI and can be self-hosted, which suits businesses that want to keep their data on their own server. I recommend after seeing your stack and budget.

Client reviews

What clients say, in their own words.

  • ★★★★★
    “Emmanuella has been a JOY to work with! She brings a calm, steady presence and consistently gets things done without needing a lot of direction or follow-up. There were multiple times where tasks were already completed before I even thought to check in.”
    Client, Business Operations Specialist contractVerified review on Upwork
  • ★★★★★
    “She brings a strong level of organization, reliability, and attention to detail to everything she touches. Whether it’s managing administrative workflows, coordinating tasks, or supporting ongoing projects, she operates on a high level of accountability and follow-through.”
    Client, Project Management, Organizing and ScalingVerified review on Upwork
  • ★★★★★
    “She was organized, communicative and very knowledgable about the industry as an OBM. She was a joy to talk to in our meetings and kept the project moving during times that I was busy or traveling.”
    Client, Online Business Manager contractVerified review on Upwork
  • ★★★★★
    “Ella understood the assignment and went above and beyond in relieving operational pressure on a project. She took initiative and was always on top of things, highly communicative, punctual and a pleasure to talk to.”
    Client, Communications and Organisation contractVerified review on Upwork
  • ★★★★★
    “Emmanuella was great to work with. She stayed on top of things and made sure deadlines were met, which kept the project moving forward. She was clear in her communication and handled any issues that came up pretty well.”
    Client, Project Manager for Digital Marketing and DevelopmentVerified review on Upwork
  • ★★★★★
    “She is very detailed and easy to work with. Her attention to detail and commitment made the entire process easy. I appreciated her clear communication and proactive approach to addressing every task.”
    Client, Business Support Specialist contractVerified review on Upwork
  • ★★★★★
    “Ella has been a valuable member of our team in every way! She is super responsive, very organized, and her attention to detail is the best I’ve seen. Her contributions have been unmeasurable to our team’s success!”
    Issa Perry, Senior Oracle Database AdministratorReview on LinkedIn Services
  • ★★★★★
    “Emmanuella is a very good project manager. She is resourceful and diligent in her work. Presentations were very creative and informative with the Wow factor. Flexible with time and adaptable to my schedules. Kudos to her!”
    Doris Okechukwu Mbadiwe, Founder and Legal & Business ConsultantReview on LinkedIn Services
  • ★★★★★
    “Emmanuella has been a great asset to my business and would recommend her and felt that she has a professional manner, high quality of work and great at getting things done on time.”
    Scarlett Vespa, Founder of The Highland WomanReview on LinkedIn Services

Quoted from my public profiles. Upwork reviews   LinkedIn reviews