Hand-keying 40 records a day into a CRM is ~6 hours a week — and every error compounds. Our senior team (12+ years) builds bounded automations: a human approves anything that goes live. Free diagnosis first.
Each of these is a load-bearing workaround — quiet until the week it breaks. The free diagnosis ranks them by what they actually cost you.
01 / 06
Staff spend hours on repeatable data tasks
Categorising enquiries, extracting document fields, drafting routine replies — AI handles these at volume, with a human review step on anything outside normal parameters.
Ranked first · diagnosed and costed before any quote
02 / 06
Every request waits for someone to read and route it
When every inbound request needs a human to classify it before work starts, the queue builds. AI triage with a human escalation path cuts that delay.
03 / 06
Off-the-shelf automation tools keep breaking
No-code platforms handle simple linear flows. They struggle with variable inputs, conditional logic, and natural language. Custom automations handle edge cases properly.
04 / 06
You cannot see what the automation actually did
Every automation Anito builds produces a structured log of inputs, model outputs, confidence scores, and human decisions — so you can account for every run.
05 / 06
A previous automation went wrong and cost you money
Automations that write to live systems without a human review gate cause real damage when they misbehave. Anito never deploys anything that touches live operations without an approval step.
06 / 06
You have no idea which AI use cases are worth the risk
Most AI pilots fail because they target a vague problem. The diagnosis ranks candidate automations by hours saved and risk surfaced — so you commit only where the return is concrete.
WHAT WE BUILD
A confidence floor and a human override — built in, not optional
Every automation Anito builds has three non-negotiable components: a confidence threshold that escalates uncertain items to a human, a structured log of every decision, and a rollback path for anything that can be undone. If the workflow is not a good candidate — volume too low, edge cases too many, risk too concentrated — Anito will say so rather than build something that creates more problems than it solves.
Auto-cycling · 01/06
Foundational to the portfolio — often a prerequisite for the others.
Impact score (0–100) · hover a bar
01
Document and email classification
Emails, contracts, invoices, and forms classified by type and priority — key fields extracted and routed to the right queue, automatically.
~6 hrs/wk recovered
02
Structured data extraction from unstructured inputs
Pull specific fields from PDFs, scanned documents, or free-text forms into your CRM or database — with a confidence score and a human review flag on anything uncertain.
~11 hrs/wk recoveredhigh-leverage
03
AI-drafted responses with human approval
Draft replies to enquiries or support tickets using your knowledge base — reviewed and sent by a human, never published automatically.
~5 hrs/wk recovered
04
Trigger-based operational workflows
When a lead arrives, a form is submitted, or a status changes, a multi-step workflow fires — notifying the right person, updating the record, logging the action.
~9 hrs/wk recovered
05
Batch reporting and data reconciliation
Scheduled automations that compare records across systems, flag discrepancies, and deliver a daily summary your team acts on rather than compiles.
~8 hrs/wk recovered
06
Human-in-the-loop approval interfaces
A simple review interface where staff approve, reject, or annotate each item before it is committed — built into the workflow, not bolted on afterward.
~7 hrs/wk recovered
HOW THE BOUNDARY WORKS
Set the bar. Anything below it, a human checks.
Drag the confidence threshold. The green items run automatically; the rest queue for staff review — never sent, never billed until a person approves.
Confidence threshold80%
6 auto-process6 queue for review
Last 12 items≥ 80% runs · < 80% holds
BY THE NUMBERS
How the automation recovers its cost
A confidence threshold routes uncertain items to a human, keeping the error rate low while still handling the majority of volume. The calculation is simple: daily volume x per-record time x 5 days x salary cost. The diagnosis applies that to your specific process and confirms whether the build recovers cost in under 12 months — or tells you it does not. Logs are exported in a format you can connect to your own reporting.
The senior who scopes your project is the one writing the code. Repos, hosting, and every credential sit in your accounts from the first commit — a developer disappearing is not a scenario that applies to you.
Build & handover — instrumented Yours from day one
6–15h
Typical salary hours recovered weekly on a focused single-workflow build
0
Actions on live systems without a human approval step
0
Black-box decisions without a structured audit log
Direct
Senior replies throughout deployment
Hover a line to trace it
COMMON QUESTIONS
Common questions about AI workflow automation
answer · 01/08
Every automation includes a confidence threshold — below that floor, the system flags the item for human review rather than processing it automatically. Anything that writes to a live database, sends a message, or triggers a payment requires an explicit human approval step.
RELATED SERVICES
Same senior team, adjacent disciplines — the same ownership terms.
Worried an automation will email your clients something wrong? The pilot starts read-only.
If the hours recovered do not justify the build cost, the diagnosis calculates that before you spend a dollar. You get a written workflow summary, a fixed-cost estimate, and a plain-English breakdown of what the automation handles, flags, and does not touch. Take it to any other developer. No pitch, no retainer, no deposit.
No deposit until scope is agreed. If the diagnosis shows we are not the right fit, we will tell you — and you owe nothing.