8:05 am · AI agents and automation
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AI agents and workflow automation
We connect your CRM, WhatsApp, Zoho, Tally and Google Sheets so leads, follow-ups, orders and reports run on their own, with AI agents for whole tasks.
The short answer
Workflow automation connects the tools you already use, such as WhatsApp, your CRM, Zoho, Tally, Google Sheets and email, so routine work happens on its own. AI agents go a step further. They read messages and documents, decide the next step within rules you set, and then finish the task or hand it to a person.
How it works
We map one process end to end.
It's usually the one that eats the most staff time, such as following up leads, entering orders, chasing payments or building the weekly report. We write down every step and who does it today.
We pick the simplest tool that works.
That's often n8n, Make or Zapier. Sometimes it's custom code, or an AI agent for the steps that need reading or judgement.
We build it with checkpoints.
Steps that send money, contact customers or change records can wait for a person's approval until you trust them.
We hand it over with a map.
You get a plain diagram of what runs where, error alerts, and a person to call when something changes.
What you can automate
Connect your tools. A new website enquiry lands in your CRM, gets a WhatsApp reply in seconds and shows up on the right salesperson's list. Orders from your store go into your accounts without anyone retyping them.
Automate the follow-up. Leads who went quiet get a polite reminder on day two and day five. Customers get a thank-you, a review request and an offer when they are due to buy again. That's the marketing automation most small businesses need, and it's connected to the data you already keep. When these reminders go out on WhatsApp, WhatsApp charges a small fee per message, and we estimate that cost with you before anything goes live. For full campaigns across email, SMS and social, see marketing automation.
Agents that finish a task. One agent reads incoming emails, sorts them, drafts replies for you to approve and files the attachments. Another prepares the morning summary of yesterday's sales, bookings and open issues, and sends it to you on WhatsApp.
Connect AI to your systems. If your team uses ChatGPT, Claude or Gemini at work, we connect them to company tools through APIs and the Model Context Protocol (MCP), so staff can ask for live data from your CRM or accounts instead of copying it in.
What you get
Screens are mock-ups
One working automation or agent, tested on your real data
A plain-language map of each workflow
Error alerts sent to the person you choose
Approval steps where you want a human to check first
A short training session for the staff who use it
An optional care plan for changes and fixes
Several agents that pass work to each other when one job needs it
Memory, so an agent remembers earlier steps and past conversations
A dashboard that shows what each agent did and when
AI agent platform comparison
We build on all three, and this is how they compare.
| Feature | Salesforce Agentforce | Microsoft Copilot | Custom LangChain/ |
|---|---|---|---|
| Customisation | Limited to Salesforce | Limited to Microsoft 365 | Fully customisable |
| Tool integration | Salesforce ecosystem only | Microsoft apps + APIs | Any API/ |
| LLM options | Salesforce LLM | OpenAI models (Microsoft) | OpenAI models, Claude, LLaMA, Mistral |
| Multi-agent support | No | Limited | Yes (AutoGen, LangGraph) |
| Data privacy | Salesforce cloud | Microsoft cloud | Your infrastructure |
| Scalability | Platform limits | Platform limits | Unlimited |
| Best for | Salesforce customers | Microsoft 365 users | Custom enterprise needs |
Salesforce Agentforce
- Customisation
- Limited to Salesforce
- Tool integration
- Salesforce ecosystem only
- LLM options
- Salesforce LLM
- Multi-agent support
- No
- Data privacy
- Salesforce cloud
- Scalability
- Platform limits
- Best for
- Salesforce customers
Microsoft Copilot
- Customisation
- Limited to Microsoft 365
- Tool integration
- Microsoft apps + APIs
- LLM options
- OpenAI models (Microsoft)
- Multi-agent support
- Limited
- Data privacy
- Microsoft cloud
- Scalability
- Platform limits
- Best for
- Microsoft 365 users
Custom LangChain/
AutoGen - Customisation
- Fully customisable
- Tool integration
- Any API/
tool/ database - LLM options
- OpenAI models, Claude, LLaMA, Mistral
- Multi-agent support
- Yes (AutoGen, LangGraph)
- Data privacy
- Your infrastructure
- Scalability
- Unlimited
- Best for
- Custom enterprise needs
In numbers
- 500+projects completed
- 98%client success rate
- 24/7expert support
The market
- $93.20BMarket size by 2032
- 85%Organisations integrating AI agents
- 91%SMBs report revenue increases
- 70-90%Workflow automation rate
- Workflow automation leads64% of deployments focus on automation
- Customer service on its own95%+ accuracy, with replies in under 30 seconds
- Faster software development10x speed improvements reported
- Financial services & trading$5-10M annual cost reductions
Success story
SMB market study
91% of SMBs report revenue boosts from AI agents
A wide market study of small and medium businesses using agentic AI for workflow automation and customer service found it changed their businesses a great deal.
Results
- 91%Report revenue increases
- 86%Improved profit margins
- 70%Queries handled autonomously
- 24/7Availability without staff
Tools we work with
n8n, Make and Zapier for workflows, LangChain, LangGraph, AutoGen and Haystack for agents, Pinecone, Chroma and Weaviate as vector databases for memory, LangSmith for monitoring, and models from OpenAI, Anthropic, Google and Mistral.
Where it fits
Automation helps most when someone does the same task many times a week by copying between screens. If the bottleneck is reading paperwork, see document processing. If it is answering customers, start with a chatbot. If you need a small app for your team to work in, see no-code and internal tools.
If you want AI built into your core business systems, see AI integration, or read the AI integration story for how a project goes. For data that has to move between systems, see API integration and middleware.
Price
Every automation is quoted in writing after a free consultation, with the timeline agreed in the same quote. Tool subscriptions are paid separately. Full details on the pricing page.
FAQ
What is the difference between automation and an AI agent?
Automation follows fixed steps, like adding a row and sending a message whenever a form arrives. An AI agent can read, decide and act within limits you set. It can read an email, work out what the customer wants, look up their order and draft the reply. Most useful systems mix both.
Do you use n8n, Make or Zapier?
Yes. We use whichever fits your tools, your budget and the person who'll look after it. For heavier work we write custom code or connect systems directly through their APIs, and we explain the trade-off before we build.
Can you connect Tally or Zoho?
Usually, yes. Zoho apps have APIs that are straightforward to connect. Tally takes more care, so we check your Tally version and setup in the first call before we promise anything.
Will an AI agent do things I didn't approve?
No. Each agent gets only the access it needs, and steps that cost money, send something important or change records can wait for a person to approve them. Every action is logged, so you can see what it did and why.
What does workflow automation cost?
Every automation is quoted in writing after a free consultation, based on the steps and the tools involved. Tool subscriptions such as n8n, Make or Zapier are paid separately, and we pick the cheapest one that does the job.
We already tried an automation and it broke. What is different?
Automations usually break because nobody is watching them. We add error alerts and keep a written map of every workflow. We also offer a care plan, so someone fixes problems before your team notices.
Next step
See the three processes most worth automating in your business, each with a reason, then book a free consultation for a written quote.
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