01
Business process automation
An end-to-end process that currently passes through four people and three tools becomes one workflow with defined inputs, checks and outputs.
AI Automation
Automate The Work. Accelerate The Business.
Most businesses are carrying a quiet tax: skilled people spending their week on work that follows rules. We find that work, map the path it actually takes through your company, and rebuild it as intelligent automated workflows that run without supervision — inside the systems you already use, with a human in the loop wherever judgement genuinely belongs.
- Process discovery
- Human-in-the-loop
- Audit trail
- Works in your current stack
What we automate
Twelve places where rule-shaped work is hiding
These are the categories we are asked for most often. In a real engagement they overlap: one lead workflow usually touches email, the CRM and reporting at the same time.
02
Workflow automation
Approvals, handoffs and status changes fire on the event that should trigger them instead of on someone remembering to send a message.
03
Lead automation
Every enquiry is enriched, scored against your criteria and routed to the right owner within a minute of arriving, at any hour.
04
Sales automation
Proposals, quotes and pipeline updates are generated from your own pricing rules and past deals, so reps sell instead of assembling documents.
05
Marketing automation
Campaign sequences respond to what a contact actually did rather than to a fixed calendar, with copy personalised from real account context.
06
CRM automation
Records enrich, deduplicate and update themselves from email, calls and meetings, so your pipeline reflects reality without manual hygiene work.
07
Email automation
Inbound mail is classified, summarised and either answered from approved content or routed with a draft reply already prepared.
08
Customer support automation
Repeat questions resolve against your knowledge base and live order data, and anything ambiguous escalates with the full conversation attached.
09
Data entry automation
Information is captured once and written to every system that needs it, removing the re-keying step where most errors are introduced.
10
Document processing automation
Invoices, forms, contracts and statements are read, structured and validated, with low-confidence extractions sent to a human review queue.
11
Reporting automation
Reports assemble themselves from source systems on a schedule and arrive with a written summary of what changed and why it matters.
12
Internal operations automation
Onboarding, provisioning, stock checks and reconciliation run on their own, and only exceptions reach an operations person.
How we decide what to automate
Not everything should be automated, and we will say so
Before anything is built, every candidate process is scored against four criteria. The output is a ranked list with an estimate of what each one is worth, so the decision is made on numbers rather than enthusiasm.
A process that scores badly is not a failure — it is a saved budget. Low-volume work usually costs more to automate than to keep doing. Work built on judgement, relationships or unwritten context breaks the moment you force it into a rule engine. And a genuinely broken process should be fixed before it is automated, because automation makes a bad process produce bad output faster.
Roughly speaking, the strongest candidates score high on volume and rule-density and have clean system access. Those get built first. Everything else is either redesigned, partially automated with a person at the decision point, or left alone.
Volume
How often does this happen?
Weight in the score90
A task performed 400 times a month returns its build cost quickly. A task performed twice a quarter almost never does, no matter how annoying it is.
Rule-density
How much of it is judgement?
Weight in the score85
Work that follows describable rules automates cleanly. Work that depends on relationships, negotiation or unwritten context does not, and we will tell you which one you have.
Cost of error
What happens when it goes wrong?
Weight in the score70
High-stakes steps still get automated, but with confidence thresholds, approval gates and human review. Cost of error changes the design, not the decision.
System access
Can software reach the data?
Weight in the score60
If the source system has an API, a database or even a reliable export, we can automate it. If the data only exists in someone’s head, the first job is not AI.
Interactive workflow examples
What an automated workflow actually looks like
Three patterns we build most often, shown end to end. Each diagram is the real shape of the system: a trigger, a set of steps that run without supervision, and a defined point where a person takes over.
Pattern 01
Lead generation
Speed-to-lead decides most competitive deals. This workflow removes the gap between an enquiry arriving and a qualified conversation starting: the lead is enriched with firmographic and behavioural context, scored against your own criteria, written to the CRM as a structured record, and answered with a message that references what they actually asked about. Sales receive a lead that has already been researched, not a name and an email address.
Lead generation
live workflow- LeadForm, ad, portal
- EnrichmentCompany + intent
- AI qualificationScored to your ICP
- CRMStructured record
- EmailContextual reply
- Follow-upUntil answered
- SalesHuman takes over
The follow-up loop is where most pipeline is recovered. It stops the moment a human replies, and hands over the full history.
Pattern 02
Customer support
Support volume is dominated by a small number of repeated questions with answers that already exist somewhere. The agent is grounded in your approved knowledge base and live account data, so it answers from fact rather than invention, and it writes every resolution back to the CRM. Escalation is a designed step, not a failure state: when confidence drops or the topic is sensitive, a person receives the conversation with a summary and a suggested reply already prepared.
Customer support
live workflow- CustomerChat, mail, voice
- AI agentIntent + context
- Knowledge baseGrounded answers
- ResolutionAction taken
- CRM updateLogged + tagged
- Human escalationWith full context
Refunds, cancellations and anything policy-sensitive stay behind an approval gate no matter how confident the model is.
Pattern 03
Document processing
Invoices, forms, statements and contracts arrive as pictures of data. OCR turns them into text, extraction turns the text into fields, and validation is what makes the result trustworthy: totals must reconcile, dates must be plausible, supplier references must exist. Anything that fails a rule or falls below the confidence threshold goes to a review queue rather than into your database, and each correction improves the next run.
Document processing
live workflow- DocumentEmail, scan, upload
- OCRImage to text
- AI extractionText to fields
- ValidationRules + thresholds
- DatabaseSystem of record
- ReportExceptions surfaced
Nothing is written to the system of record until it passes validation. Silent failure is the one outcome we design hardest against.
Before and after
The same five moments, run two different ways
This is what changes in practice. Not a productivity slogan — the specific difference in how a piece of work moves through the business.
Manual today
Work moves at the speed of a person
A new enquiry arrives
It sits in a shared inbox until someone opens it, then gets copied into the CRM by hand.
Data moves between systems
The same fields are re-typed into two or three tools, and the versions quietly diverge.
A document needs processing
Someone reads the PDF and types the values into the finance system, one line at a time.
Reporting day
Four exports are stitched together in a spreadsheet, and the numbers are already a week old.
Something breaks
The failure is discovered weeks later during reconciliation, and nobody can reconstruct the cause.
Automated with arham.intel.ai
Work moves at the speed of the system
A new enquiry arrives
It is enriched, scored, logged and answered within a minute — including at 2am on a Sunday.
Data moves between systems
Data is captured once and written everywhere it belongs, with a record of what changed and when.
A document needs processing
Fields are extracted and validated automatically; only low-confidence values reach a person.
Reporting day
The report generates on schedule from live sources and arrives with a summary of what moved.
Something breaks
The workflow alerts at the point of failure, holds the affected record and shows the full step history.
The right-hand column is not aspirational. Every row corresponds to a control we build in: enrichment on the trigger, single-write data flow, confidence thresholds, scheduled generation, and alerting with record-level holds.
Questions
What businesses ask before they automate
Direct answers, including the ones that are not in our commercial interest.
Cost tracks scope, not hype. A single well-defined workflow — one trigger, a handful of systems, one review path — is quoted as a fixed-price build. Multi-department programmes are scoped in stages, each priced and approved on its own, so you can stop after any stage and still keep what was delivered. We only quote after the discovery session, because quoting before we have seen your process is guesswork dressed as a number. We also give you the honest running cost: model usage, infrastructure and support are separate from the build and we show them before you commit.
Find what your business can automate
Bring one process that frustrates you. We will map it, score it against volume, rule-density, cost of error and system access, and tell you whether it is worth automating before anyone talks about building.
Process map and opportunity ranking included · No obligation