Stage 11 to 2 weeks
AI Opportunity Sprint
Teams who know AI matters but not where to start.
A short, structured discovery that finds the AI opportunities worth pursuing in your business, and the ones that aren't.
Find your AI opportunityAI workflow automation
Workflow engineering that automates real business processes
We map how work actually moves through your teams, then rebuild the repetitive steps as AI-assisted workflows that read, decide, update your systems and hand exceptions to the right person.
Starts with one workflow and a measured baseline. Humans approve anything that matters.
What usually goes wrong
Most operational work is not one task. It is a chain: something arrives, someone reads it, checks two systems, decides, updates a third system and tells a customer. Traditional automation breaks as soon as the input is unstructured. People fill the gaps by hand.
Work waits in inboxes and queues
Requests arrive by email, WhatsApp, forms and PDFs. Nothing happens until someone has time to read, sort and re-key them, so response times depend on who is on shift.
Staff act as the integration layer
Your CRM, ERP and spreadsheets do not talk to each other, so people copy the same data between them. Every copy is another chance for a typo.
Rule-based automation stops at the first exception
Classic RPA and if-this-then-that tools need perfectly structured inputs. Real messages are messy, so the automation covers only the tidy cases and the rest falls back to manual work.
No one can see where a case is stuck
When a process spans several tools, there is no single record of who did what and why. Delays are hard to diagnose and audits are painful.
Where Workflow Engineering earns its keep
Lead qualification and routing
Read inbound enquiries, enrich them from your CRM, score them against your criteria and route them to the right salesperson with a drafted first reply.
Customer onboarding
Collect documents, check them for completeness, create accounts across systems and chase missing items automatically, with a person signing off the final activation.
Invoice and payables processing
Capture invoices from email, extract and validate fields, match them to purchase orders and send only mismatches for review before posting to the ERP.
Approval workflows
Turn email-based approvals into structured requests with context summaries, policy checks and a clear audit trail of who approved what.
Support-ticket triage
Classify tickets by intent and urgency, attach relevant account history, suggest a response and escalate anything sensitive to a human agent.
Operations back-office
Automate recurring reconciliations, status updates and report preparation that currently consume hours of skilled staff time each week.
What we actually build
Process maps and automation design
A documented current-state and future-state workflow, with the decision points, exceptions and approval gates agreed before any code is written.
Workflow orchestration services
Durable, retry-safe pipelines that coordinate AI steps, business rules and system updates, so a failed API call never loses a case.
AI steps that read and decide
Classification, extraction, summarisation and drafting steps using large language models, each with structured outputs and validation.
Review and exception queues
A focused interface where people handle only the cases the system is unsure about, with the context they need already attached.
Integrations and connectors
API, webhook and database connections to the tools you already run, built and tested by the same team that builds the workflow.
Operational dashboards
Throughput, queue age, exception rates and cost per case, so you can see whether the workflow is doing its job.
Systems we connect to
The usual suspects. If yours has an API or a database, we can almost certainly work with it.
- CRM & sales
- Salesforce, HubSpot, Zoho CRM, Custom CRMs
- ERP & finance
- Tally, Zoho Books, Odoo, SAP (via APIs), Custom ERPs
- Communication
- Gmail & Google Workspace, Microsoft 365, WhatsApp Business API, Slack
- Data & documents
- PostgreSQL, MySQL, Google Sheets, Cloud storage, PDF & scanned files
How it works, step by step
- 01
Trigger
A new email, form submission, file upload, webhook or scheduled job starts a case.
- 02
Understand
An AI step classifies the request and extracts the fields the process needs, returning structured data rather than free text.
- 03
Check
Business rules validate the result against your systems. Does the customer exist, does the amount match, is it within policy?
- 04
Act or escalate
Confident, in-policy cases update your systems automatically. Everything else goes to a review queue with a clear reason.
- 05
Record
Every step, input, decision and approver is logged, giving you an audit trail and the data to improve the workflow.
Blueprint: inbound lead qualification
Reference design, not a client projectThe scenario: A B2B company receives enquiries through its website, email and WhatsApp. Sales wants qualified leads in the CRM within minutes, not days.
- 1. TriggerEnquiry arrivesWeb form, email or WhatsApp message
- 2. AI stepClassify & extractIntent, company, budget signal, timeline
- 3. Rules & checksEnrich & scoreCRM lookup, duplicate check, scoring rules
- 4. Human controlSales reviewBorderline leads only, with a drafted reply
- 5. System updateCreate & assignCRM record, owner, follow-up task
- Trigger
- AI step
- Rules & checks
- Human control
- System update
How we deliver it
Timings are typical for a first release. They depend on scope, how ready your data is and the integrations involved, so we confirm them after discovery.
- 1Week 1
Workflow discovery
We shadow the process, collect real (anonymised) examples, measure today's handling time and error points, and agree what success looks like.
- 2Weeks 2 to 3
Design & prototype
We design the future-state flow and test the AI steps against your historical examples before connecting anything to live systems.
- 3Weeks 3 to 5
Integrate & pilot
We connect the workflow to your tools, run it in shadow mode alongside your team, then switch on automation for the cases it handles well.
- 4Ongoing
Expand & operate
We review exceptions weekly, tune rules and prompts, and extend automation to the next workflow once the first one is stable.
Safeguards, built in from day one
Security, privacy, testing and human control are designed in from the start, not bolted on after a pilot. We adapt them to your policies and your risk.
Approval gates
Payments, customer-facing messages and record deletions can require human approval. You decide where the gates sit.
Least-privilege access
Each integration uses scoped credentials with only the permissions that step needs, stored in a secrets manager and never in prompts.
Tested before it touches production
Every AI step is evaluated against a set of your real examples, and re-tested whenever prompts, rules or models change.
Full audit trail
Inputs, model outputs, rule results and approver actions are logged per case, so any decision can be explained later.
What you can expect
Results depend on your process, volumes and data quality, so we measure a baseline first and report against it. Typical goals include:
- Faster first response and shorter end-to-end cycle times
- Less manual re-keying between systems
- Fewer cases stuck in inboxes without an owner
- Clear visibility of where and why exceptions happen
- Staff time moved from data entry to judgement work
What we measure
Cycle time per case, Share of cases handled without re-keying, Exception rate and reasons, Cost per processed case.
We don't promise savings or accuracy figures up front. We measure them on your data during the pilot.
Where it fits best
- Logistics. Quotation requests, booking confirmations and exception follow-ups.
- Education. Admission enquiries, document collection and fee reminders.
- SaaS. Trial-to-paid onboarding and support triage.
- Distribution & retail. Purchase orders, invoices and stock replenishment approvals.
Ways to begin
Stage 23 to 5 weeks
Workflow Automation Pilot
One valuable workflow you want to prove before scaling.
A focused pilot that automates a single workflow end to end, running against a measured baseline so the result is a decision, not a demo.
Start an AI pilotStage 36 to 12 weeks
Production AI Build
An AI product or feature you are ready to ship to real users.
A full build from product design to deployment: the AI, the application around it, the integrations and the tooling to run it.
Plan a production buildStage 4Ongoing, monthly
Managed AI Operations
AI systems already in production that need an owner.
Ongoing care for production AI: we watch quality, control costs, handle model changes and keep security reviews current.
Talk about managed AI
Workflow Engineering: questions we get asked
What is workflow engineering?
Workflow engineering is the practice of redesigning a multi-step business process and then automating it end to end. It combines AI steps that read and decide, business rules that validate, integrations that update your systems, and human review where judgement is needed.
How is AI workflow automation different from RPA?
RPA follows fixed scripts on structured screens and breaks when inputs vary. AI workflow automation can understand emails, documents and free text, so it handles far more real-world variation, while rules and approvals keep it predictable.
Which workflow should we automate first?
Pick a high-volume, repetitive process with clear rules for what a good outcome is and a manageable cost of mistakes. Lead intake, invoice capture and ticket triage are common first choices. Our AI Opportunity Sprint helps rank candidates.
Do we need to replace our existing tools?
No. We connect to the CRM, ERP, email and databases you already use through their APIs or, where needed, a small integration service.
What happens when the AI is not sure?
Every AI step returns a confidence signal and passes validation rules. Low-confidence or out-of-policy cases go to a review queue with the reason attached, instead of being processed automatically.
Have a workflow that eats your team's week?
Walk us through it. We'll tell you honestly whether AI automation fits, what a pilot would cover and how we'd measure it. We reply within one business day.
We reply within one business day, and we're happy to sign an NDA first. Prefer email? Write to info@originsphere.in.