01
Process discovery and AI automation consulting
We map how work really flows, score each process for value and risk and recommend what to automate first, and with what.
FIG 01 · AI Automation
AI automation and business process automation services
Workflows in n8n, Zapier, Make or custom code that move data between your apps, with AI steps that read, classify and draft, and a person approving anything risky.
See how it works
FIG 02 · Quick answer
What are business process automation services?
Business process automation services replace repetitive manual work, such as copying data between apps, routing leads or processing invoices, with reliable workflows. Elgrith maps your process, then builds automations in n8n, Zapier, Make or custom code, adds AI steps that read, classify and draft, and keeps a person in the loop for risky actions.
- AI apps that reach Kenerate AI, our flagship build, through MCP and CLI
- 19+
- Projects delivered since 2015
- 1,000+
- Clients across the USA, UK and India
- 250+
- Your workflows, accounts and credentials
- 100%
FIG 03 · Why it matters
Most businesses use AI. Few use it deeply.
From Stanford HAI’s AI Index 2025 and the ONS survey of AI in UK businesses (July 2026).
01
78%
Of organizations use AI
78% of organizations reported using AI in 2024, up from 55% the year before.
Source: Stanford HAI, AI Index 2025(opens in a new tab)02
35%
Of UK firms with 10+ staff use AI
Among UK businesses with 10 or more employees, AI use “has increased from around 12% to around 35% since late 2023”, and reaches 49% of those with 250 or more employees.
Source: ONS, AI in UK businesses, 2023 to 2026(opens in a new tab)03
10%
Use AI extensively
The ONS found only 10% of UK businesses report using AI extensively. Wiring AI into real workflows is where the gap is.
Source: ONS, AI in UK businesses, 2023 to 2026(opens in a new tab)
FIG 04 · Definition
What is business process automation?
Business process automation (BPA) uses software to run a multi-step business process, such as onboarding a client or approving an invoice, with little manual work. RPA, document processing and AI agents are tools for parts of it.
| What it is | Example | |
|---|---|---|
| Business process automation (BPA) | Software that runs a whole process across your apps | Form → CRM record → contract → invoice → welcome email |
| Robotic process automation (RPA) | Bots that click through screens like a person | Copying data out of an old desktop system with no API |
| Intelligent document processing (IDP) | AI that reads documents and extracts fields | Supplier, totals and due date pulled from a PDF invoice |
| AI agent | Software that decides its next step and uses tools | Research a lead, update the CRM and draft an email for approval |
Most good automations combine them: fixed workflow steps for the predictable parts, AI steps where a document or message has to be read.
Need a true agent? See AI agent developmentFIG 05 · What you get
Our AI automation services
Discovery, build and upkeep, using the tool that fits each process rather than the one we happen to resell.
02
Workflow automation with n8n, Zapier and Make
Workflows built in n8n (cloud or self-hosted), Zapier or Make, chosen by data sensitivity, run volume and who will maintain them.
03
AI steps: extract, classify, summarize, draft
LLM steps that read emails and documents, pull out fields, sort requests and draft replies, with checks on every output.
04
Document and inbox automation
Invoices, forms, purchase orders and shared inboxes processed automatically, with exceptions sent to a person.
05
CRM and sales automation
Lead capture, enrichment, routing and follow-ups in HubSpot, Salesforce, Zoho or a custom CRM.
06
Custom code and API integrations
When a no-code tool hits its limits, we write the integration in code, with tests and logging.
07
Human-in-the-loop approvals
Anything that sends, pays or deletes waits for a person to approve it, in Slack, email or a simple review screen.
08
Monitoring and upkeep
Error alerts, retries, run logs and fixes when an app you depend on changes its API.
Deliverables
12
deliverables, in writing
Included in every build, written into your fixed quote before work starts.
FIG 06 · Use cases
Automations we build most often
Each one starts with a trigger, uses the tools you already have and ends with an output a person can check.
- Web form
- Email inbox
- Invoice PDF
- CRM event
Your workflow
- CRM
- Accounting
- Slack
- Human approval
Lead capture and routing
- Trigger
- A form, chat or ad lead
- Steps
- Enrich, score, assign an owner
- Output
- A CRM record and an alert to the right rep
Invoice processing
- Trigger
- An invoice arrives by email
- Steps
- AI extracts fields, checks the PO
- Output
- A draft bill in Xero or QuickBooks for approval
Shared inbox triage
- Trigger
- A new email to sales@ or support@
- Steps
- Classify, tag, draft a reply
- Output
- The right queue, with a draft ready to send
Client onboarding
- Trigger
- A deal is marked won
- Steps
- Contract, invoice, project and folders created
- Output
- A welcome email and a ready workspace
Weekly reporting
- Trigger
- A schedule
- Steps
- Pull data from apps, summarize with AI
- Output
- A written summary in Slack or email
Zoho CRM automation
- Trigger
- New leads, deals or tickets in Zoho
- Steps
- Sync with finance, support and email
- Output
- One clean record across Zoho apps
HubSpot workflows
- Trigger
- Lifecycle or deal-stage changes
- Steps
- Enrich, update, notify, create tasks
- Output
- Less admin for sales and marketing
Support ticket tagging
- Trigger
- A new helpdesk ticket
- Steps
- Classify topic and urgency, suggest an answer
- Output
- Tickets in the right queue, faster replies
FIG 07 · Flagship build
Proof: Kenerate AI works inside other AI apps
We designed and engineered Kenerate AI, an all-in-one AI image and video studio. Its agent and its MCP and CLI access use the same connective patterns we build into automations.
- MCP & CLI: use Kenerate inside Claude, ChatGPT, Cursor and 19+ AI apps
- Kenerate Agent: chat with an agent that picks the model and runs the workflow
- 200+ AI models behind one app, one login and one credit balance
- 1,000+ projects for 250+ clients since 2015
Agent: Kenerate inside Claude, ChatGPT and CursorDesigned and engineered by Elgrith
- AI models in one app
- 200+
- Studios and tools
- 23+
- Maximum output
- 4K
- Guides
- 500+
FIG 08 · Prioritize
Which processes to automate first
We score every candidate against the same tests. The best first automation passes all of them.
05principles
High volume
It happens many times a week, so small savings add up.
Rule-based
Most steps follow clear rules, with AI only where something has to be read.
Low risk
A mistake is easy to spot and undo, or a person approves the risky step.
Measurable
You can count runs, time saved and errors before and after.
A clear owner
Someone on your team owns the process and the automation after launch.
FIG 09 · Security
Security and data
Automations touch customer data, money and inboxes. These controls are part of every build.
05principles
Self-hosted n8n option
n8n can run in your own cloud, so sensitive data never passes through a third-party automation service.
Least-privilege credentials
Each connection gets only the scopes it needs, stored in a secrets manager, in accounts you own.
UK GDPR and GDPR
Data mapping, minimization and processor checks for every app in the chain.
Logs and audit trail
Every run, input and decision is logged, so you can see what happened and why.
Model data policies
OpenAI says data sent to its API “is not used to train or improve OpenAI models” by default. We check each provider’s terms for your case.
FIG 10 · USA and UK
AI automation agency for the US and UK
London and New York client partners, with engineering in New Delhi. One team for discovery, build and upkeep.
05principles
FIG 11 · Measurement
How we measure an automation
Every automation ships with a small dashboard, so you can see it working, not just trust that it is.
| Metric | What it tells you | How we measure it |
|---|---|---|
| Runs and success rate | How often it runs and finishes cleanly | Run logs in n8n, Zapier, Make or your code |
| Exceptions to people | How often it hands work back | Exception queue counts, reviewed with you |
| Time saved | Manual minutes no longer spent | Estimated with your team from before-and-after timings |
| Error and retry rate | How fragile it is | Error alerts and retry logs |
| Cost per run | Tool, model and API spend | Task counts and token usage per run |
| Accuracy of AI steps | Whether extraction and classification are right | Spot checks against a labelled sample |
Targets are agreed with you during discovery. We don’t quote time-saved figures before we have mapped your process.
FIG 12 · Process · 6 steps
Map the process, then automate
A fixed written quote after a process review. Nothing runs on live data until your team has checked it on real examples.
- Step 01
Map
We walk through the process with the people who do it: triggers, apps, data, exceptions and risks. You get a written scope and a fixed quote.
- Step 02
Prioritize
Candidates scored for volume, rules, risk and measurability. We start with the one that pays back first.
- Step 03
Build
The workflow in n8n, Zapier, Make or code, in accounts you own, with AI steps where something has to be read.
- Step 04
Test with real data
Past examples run through the automation and compared with what your team actually did.
- Step 05
Human review
Approval steps on for anything that sends, pays or deletes, until you are happy to relax them.
- Step 06
Monitor
Alerts, run logs and a scorecard, plus fixes when a connected app changes.
FIG 13 · What you get
Everything included
Written into your fixed quote, so you know exactly what you are paying for before work starts.
12items
- Process map and automation shortlist
- Written scope and fixed quote
- Workflows in n8n, Zapier, Make or code
- AI steps with output checks
- Approval steps for risky actions
- Error alerts, retries and run logs
- Automation scorecard
- Security and data-flow notes
- Test runs on real examples
- Runbook for your team
- Training for the process owner
- Workflows and credentials in your accounts
FIG 14 · Tech & tools
The tools behind the work
Proven, well-supported tools, chosen for your project and set up in accounts your business owns.
- n8n
- Zapier
- Make
- Microsoft Power Automate
- OpenAI
- Anthropic Claude
- Model Context Protocol
- Webhooks
- REST APIs
- HubSpot
- Salesforce
- Zoho
- Slack
- Gmail
- Google Sheets
- Xero
- QuickBooks
- PostgreSQL
FIG 15 · Who it’s for
Automation for every kind of team.
Start with one process, measured, then build from there.
3 audiences
Small teams
Stop copy-pasting between apps.
Simple, reliable workflows between your forms, CRM, inbox and accounting, in tools your team can understand.
- One process first
- Zapier or Make where it fits
- Alerts when something fails
- Plain-English runbook
Operations and finance
Take the busywork out of the back office.
Invoices, onboarding, reporting and approvals automated, with people approving the steps that matter.
- Document extraction with AI
- Approval steps on payments
- Audit logs for finance
- Self-hosted n8n for sensitive data
SaaS and product
Automation inside your product.
Workflows and AI steps built into your own software, or exposed to your customers’ tools through APIs and MCP.
- Custom code where no-code stops
- Webhooks and public APIs
- MCP servers for AI apps
- Code in your repository
FIG 16 · Working with us from the USA and UK
Built in New Delhi. Run on your hours.
Every project gets a point of contact in New York or London and an engineering team in New Delhi. Here is how today’s working days line up, live.
New York
North America
--:--ET
New Delhi team Your working day- Shared working time
- ≈ 3 hours today
- New Delhi is
- 10.5 h ahead
- Live calls, your time
- 9 a.m. to 12 p.m. ET
London
UK & Europe
--:--UK
New Delhi team Your working day- Shared working time
- ≈ 4.5 hours today
- New Delhi is
- 5.5 h ahead
- Live calls, your time
- 9 a.m. to 1:30 p.m. UK
Three ways to work together
- 01
Fixed-scope project
A written scope, one fixed price and a dated plan. Suits websites, apps and MVPs.
- 02
Dedicated team
Designers and engineers on your roadmap every month, billed monthly.
- 03
White label
For US and UK agencies: our work, your brand, unbranded deliverables.
Every engagement
- Fixed quote in USD, GBP or INR after a free 30-minute call
- NDA before discovery. You own all code, designs and content
- A working demo every sprint, not status slides
- Reply within one business day, calls inside your hours
Book a call
Calls on ET or UK hours
FIG 17 · Decide
Agent or workflow? A decision table
Most competitors blur these together. They suit different jobs, carry different risks and need different upkeep.
| Workflow automation | AI-assisted workflow | AI agent | RPA | |
|---|---|---|---|---|
| Best for | Fixed steps between apps | Fixed steps plus reading messy input | Tasks that need judgment and tool choice | Old screens with no API |
| Risk | Low: it does what you wrote | Low to medium: AI output is checked | Medium to high: needs guardrails and approvals | Medium: breaks when screens change |
| Upkeep | Low | Low to medium: prompts and checks | Higher: evals and monitoring | High |
| Example | Form → CRM → Slack alert | Invoice email → AI extracts fields → draft bill | Research a lead, update the CRM, draft an email | Copy data out of a legacy desktop app |
FIG 18 · Tools
n8n, Zapier, Make or custom code?
We use all three, plus custom code. The choice depends on your data, your run volume and who will maintain it.
| n8n | Zapier | Make | Custom code | |
|---|---|---|---|---|
| Hosting | Self-hosted or n8n cloud | Zapier’s cloud | Make’s cloud | Your cloud |
| Best for | Sensitive data, complex logic, high volume | Quick wins across many SaaS apps | Visual multi-step scenarios | Unusual systems and in-product automation |
| Who maintains it | A technical owner | Anyone on your team | A confident power user | Developers |
| Watch for | You run and update the server if self-hosted | Task-based costs at high volume | Operation-based costs at high volume | Build time |
FIG 19 · Compare
Automation agency, DIY or an in-house hire?
| AI automation agency (Elgrith) | Do it yourself | In-house automation hire | |
|---|---|---|---|
| Best for | Processes across several apps with AI steps | One or two simple zaps | A long programme of automation work |
| Tool choice | n8n, Zapier, Make or code, per process | Whatever you know | Depends on the hire |
| Safety | Approval steps, logs and alerts built in | Often none | Depends on the hire |
| Upkeep | Monitoring and fixes, agreed in writing | Whoever notices it broke | Yours |
| Ownership | Workflows in your accounts | Yours | Yours |
FAQ
Frequently asked questions
Straight answers about AI Automation with Elgrith.
Business process automation runs a whole process across your apps, usually through their APIs: a form creates a CRM record, which triggers a contract, an invoice and a welcome email. RPA is one technique inside that, where a bot clicks through screens like a person. We use RPA only when a system has no API.
FIG 20 · Related
Keep exploring
RPA Development
Bots for systems with no APIAI Development
LLM apps, AI agents & MCPAI Agent Development
Custom agents, MCP servers and guardrailsLLM Integration
ChatGPT, Claude & RAG in your productAI Chatbot Development
RAG chatbots on web, WhatsApp, Slack and voiceAPI Integration
Connect your apps, CRM & paymentsCRM Development
Custom CRMs & HubSpot/Zoho setupsZoho Consulting
Zoho CRM & One setup and automationKenerate AI case study
Our flagship build: 200+ AI models in one studio
Free 30-minute call
Pick one process. We’ll automate it.
Tell us the task that eats your team’s week. After a free call and a process review you get a written scope and a fixed quote.
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