AI Automation
AI automation is not a chatbot bolted onto your website. Done correctly, it is a set of triggered workflows that use AI models to handle work that currently requires human time — document review, data entry, lead routing, email classification, report generation, and customer triage. We identify the right processes in your business, design the automation, and build it using a combination of LLM APIs, structured output parsing, and integration with your existing tools. The result is measurable time savings on tasks your team finds repetitive.
At a glance
Estimated cost
$4,000 – $26,000
fixed project price
Typical timeline
5–12 weeks
Deliverables
7
included in standard scope
Cost saving vs West
50–70%
Pakistan-based delivery
What you get
Deliverables
Everything included in a standard engagement. Scope is agreed upfront — no surprises.
- Documented automation map (inputs, triggers, outputs, fallbacks)
- Working automation pipeline connected to your real data
- Human review queue for low-confidence AI outputs
- Accuracy monitoring dashboard
- Integration with target system (CRM, email, Slack, database)
- Prompt engineering documentation
- Maintenance and retraining guide
How it works
Our process
Structured delivery means you know what happens at every stage — before we start.
- 01
Process Audit
We identify and prioritise automation opportunities by mapping your team's repetitive tasks and estimating hours saved per automation.
- 02
Automation Design
We design the workflow: trigger conditions, AI processing logic, output format, fallback paths, and human override points.
- 03
Prototype & Validate
We build a working prototype on a sample of your real data and validate accuracy before full deployment.
- 04
Integration & Deployment
The automation is connected to your live systems and deployed with monitoring enabled.
- 05
Monitoring & Iteration
We monitor accuracy over the first 30 days and iterate on prompts or logic based on real-world performance.
Budget & timing
Investment & timeline
Pakistan-based delivery at a fraction of Western agency rates. Transparent pricing, no retainer traps.
$4,000 — $26,000
per project
Single-process automation: USD 4,000–8,000. Multi-process intelligent pipeline: USD 10,000–26,000.
5–12 weeks
estimated delivery
Single automations: 4–6 weeks. Complex pipelines: 8–12 weeks.
Tools & technologies
What we build with
We pick the right tool for the job — no forced frameworks.
Who we work with
Industries we serve with this service
Healthcare
Private clinics, specialist practices, allied health providers, telehealth platforms, and health-tech startups — digitising clinical and administrative workflows while navigating data compliance requirements.
See how we help →Legal
Law firms, barristers' chambers, legal tech startups, and in-house legal teams — modernising document-heavy, process-intensive operations while meeting strict confidentiality requirements.
See how we help →Logistics & Supply Chain
Freight forwarders, 3PLs, courier companies, warehouse operators, and supply chain technology providers — managing complex, time-sensitive operations across multiple locations and partners.
See how we help →Real Estate
Property agencies, property management companies, developers, buyers' agents, and PropTech startups — digitising property listings, lead management, and portfolio administration.
See how we help →E-Commerce
Online retail businesses selling physical or digital products — from single-brand Shopify stores to multi-vendor marketplaces and D2C brands scaling to 7+ figures.
See how we help →Construction & Trades
Builders, subcontractors, project managers, civil engineering firms, and construction tech startups — digitising site operations, project tracking, and subcontractor coordination.
See how we help →Education
Private schools, tutoring companies, online course creators, EdTech startups, and vocational training providers — building and scaling digital learning experiences and administrative systems.
See how we help →Who delivers this
Need a dedicated person instead?
AI Engineer
An engineer who builds production AI systems — not demos. LLM integrations, RAG pipelines, classification models, and intelligent automation that runs reliably in the real world.
Hire dedicated →Dedicated Developer
A vetted full-stack, frontend, or backend developer embedded in your team on a dedicated monthly engagement — no agency markup, no context-switching between client projects.
Hire dedicated →Data Analyst
A data analyst who translates messy business data into clear dashboards, automated reports, and the answers your team actually needs to make decisions.
Hire dedicated →Commonly paired with
Related services
LLM Integration
Embed large language model capabilities directly into your product or workflow — RAG systems, AI assistants, structured data extraction, and intelligent search.
Custom Software Development
Bespoke software built around your exact workflows — not a SaaS workaround. Internal tools, client portals, automation systems, and multi-role platforms.
API Integration
Connect your business systems, automate data flows, and eliminate manual data entry. Xero, Stripe, HubSpot, Salesforce, Zapier, and bespoke REST or GraphQL APIs.
Data Analytics
Turn raw business data into decisions — data audits, pipeline setup, predictive models, and the reporting infrastructure that keeps your team informed.
Frequently asked questions
Common questions about AI Automation.
AI automation is reliable for: document classification, data extraction from structured or semi-structured documents (invoices, forms, contracts), email and ticket triage and routing, report generation from structured data, and content summarisation. It is less reliable for: tasks requiring judgment about edge cases, anything requiring real-world context the model does not have, and tasks where errors have serious legal or financial consequences without a human review step.
For well-scoped automation tasks with clear inputs and outputs, accuracy of 85–95% is typical on diverse real-world data. We always build a human review queue for outputs below a confidence threshold — so the automation handles the easy cases and surfaces the hard ones for human decision-making. This means your team does less work, not that the AI replaces human judgment for complex cases.
Every automation we build includes: (a) confidence scoring on each output, (b) a human review queue for low-confidence cases, (c) an audit log of every AI decision, and (d) an override mechanism so a human can correct any AI output. Mistakes in production are used to improve the system — they are not surprises if you have monitoring in place.
Zapier is rule-based automation: if X happens, do Y. It cannot understand meaning, classify content, or make judgment calls. AI automation handles work that requires interpretation — reading a contract and extracting key terms, triaging a support email by issue type, or classifying an invoice against a chart of accounts. If your process needs intelligence, not just a trigger and action, that is where AI automation adds value Zapier cannot.
Ready to start your AI Automation project?
Send us your requirements. We'll clarify the scope, timeline, and cost — no obligation.