Hours lost reading documents
Staff spend hours each day reading policies, contracts, claims, CVs, and reports to find what matters.
AI workflow audits & implementation
Practical AI automation for document-heavy work
CogentFlow helps teams find where AI can safely reduce manual document, email, and reporting work — and proves the value on one workflow before you invest in a full implementation.
Trusted approach for insurance, recruitment, BPO/KPO, and finance — plus legal, logistics, education, and other document-heavy teams.
Workflow audit preview
A practical review of one workflow before implementation.
Messy inputs
PDFsInvoicesCVsEmailsReports
AI Workflow Audit
ProcessDataRisksCosts
Clear automation plan
Workflow mapSavings estimateRisk notesNext steps
The problem
Manual document work is slowing teams down
Teams lose hours searching documents, copying data, checking forms, answering repeat questions, and preparing reports. The result is delay, errors, duplicated work, and poor visibility.
Manual data-entry errors
Re-keying invoice numbers, totals, and form fields by hand is slow and quietly introduces mistakes.
Slow customer responses
Requests wait in queues while staff dig through files, so replies and decisions take longer than they should.
Knowledge trapped in files
Critical detail sits locked inside PDFs and email threads, out of reach when the team actually needs it.
Hard to find information
Without good search, finding the right document, clause, or number means scrolling, guessing, and asking around.
Repeated internal questions
Managers and staff answer the same operational, HR, finance, and process questions again and again.
Who we help
Built for document-heavy teams
If your team handles high volumes of claims, applications, CVs, invoices, or compliance documents, you’re who we build for. These are the industries and workflows we focus on first — starting with businesses in Sri Lanka and working remotely with teams further afield.
Not sure where AI fits? That’s exactly what the audit is for: we map one workflow and pinpoint where automation actually pays off.
Book a 20-minute discovery callInsurance
- Claims processing
- Policy document analysis
- Customer correspondence
Recruitment
- CV screening
- Candidate ranking
- Interview shortlisting
BPO / KPO
- Document extraction
- Data entry automation
- Quality checking
Finance
- Loan document review
- KYC workflows
- Compliance support
We also work with legal, logistics, education, and other document-heavy teams. If a process is document-heavy and repetitive, the audit will tell you whether AI is worth applying to it.
Focused first step
Start with an AI Document Workflow Audit
A focused 3–5 working day review of one selected workflow before investing in full software implementation.
Designed to help your team decide what to automate first, what risks to consider, and what implementation effort to expect.
Designed with privacy, data readiness, cost awareness, and human review in mind.
Starts from LKR 75,000 — credited toward implementation if you proceed within 60 days.
Led by a senior practitioner
Senior software & AI systems engineer — workflow automation, cloud architecture, and document-heavy business systems. You work directly with the person doing the work.
Clear workflow map
Automation opportunities
Estimated time/cost savings
Data readiness review
Privacy/security notes
Solution architecture
Cloud/API cost estimate
Optional small demo
Sample documents can be anonymized before review. Sensitive production data is not required for the initial audit.
Process
How the audit works
01
Select one workflow
Choose one high-friction document, email, or reporting process.
02
Review data, risks, and opportunities
Assess manual steps, data readiness, privacy concerns, and AI suitability.
03
Receive a practical automation plan
Get a roadmap, cost estimate, architecture direction, and next-step recommendation.
Why CogentFlow
Automation you can trust, trace, and afford
Practical AI only works when the workflow, data, risks, and human review steps are clear.
“AI should support business teams with reviewable outputs — not replace judgment or accountability.”
Traceable answers
AI outputs should point back to source documents, sections, or reviewed data where possible.
Human-in-the-loop
Designed to support staff review and approval, not replace business judgment.
Cost-aware architecture
Cloud and API costs and implementation effort are estimated up front, so there are no surprises later.
Senior practitioner-led
You work directly with an experienced engineer, not an account manager or a junior dev shop.
Privacy & data protection
A privacy-conscious approach to AI
Most local AI work says little about data protection. We treat it as part of the plan from the first workflow we review — because document-heavy processes usually involve sensitive, regulated, or personal data.
CogentFlow is not a law firm and does not provide legal advice. We help you design and implement with the PDPA in mind, and recommend confirming specific obligations with your own legal or compliance advisors.
Book a 20-minute discovery call-
PDPA-conscious implementations
We design workflows with Sri Lanka’s Personal Data Protection Act in mind, and keep our guidance careful rather than absolute.
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Deployment you control
Run automation in your own cloud or private infrastructure — your data does not have to leave your environment.
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Minimal data exposure
We work from anonymized samples where possible and only request the data a task genuinely needs.
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Human-in-the-loop review
People review AI output before it is trusted, exported, or acted on — automation supports your team, it does not bypass it.
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Vendor-neutral recommendations
We recommend the tools that fit your data, budget, and risk — not whatever we are tied to reselling.
Interactive demos
See the approach in action
Explore two sample workflows — with citations, confidence scores, and human review built in.
AI Knowledge Assistant Demo
Ask questions from sample policies, SOPs, and internal documents with source references.
Document Extraction Workflow Demo
Turn sample documents into structured fields with confidence scores and human review.
Example ROI scenarios
What could this save?
These are illustrative examples, not client case studies. Actual results depend on document volume, process complexity, data quality, and how much human review is required.
Recruitment / HR
CV Screening Support
- Scenario
- 500 CVs reviewed per month
- Manual effort
- Around 20 hours spent on initial screening.
- AI-assisted workflow
- Extract candidate details, compare against job criteria, rank candidates, show source-backed reasoning, and keep rejected candidates reviewable.
Illustrative outcome
Up to 60–80% reduction in first-pass screening effort.
Human control: Recruiters still approve, reject, and review low-match candidates.
Finance / Operations
Invoice Processing Support
- Scenario
- 300 supplier invoices or forms per month
- Manual effort
- Staff copy invoice numbers, dates, supplier names, totals, tax values, and line items into Excel or accounting systems.
- AI-assisted workflow
- Extract fields, show confidence scores, flag missing or low-confidence values, and send exceptions for human review.
Illustrative outcome
Reduced manual data entry, faster checking, and fewer repeated copy/paste tasks.
Human control: Finance team reviews exceptions before export or approval.
Insurance / Logistics
Document Pack Review
- Scenario
- Claims, export/import files, or customer document packs reviewed manually
- Manual effort
- Teams check whether required documents are present, compare names/numbers, summarize files, and flag missing details.
- AI-assisted workflow
- Identify document types, run checklist validation, summarize the file, detect missing documents or mismatches, and route exceptions.
Illustrative outcome
Faster first review and fewer delays caused by missing or incomplete documents.
Human control: Final decision remains with the operations or claims team.
Start with one workflow audit to estimate your real savings.
A focused audit sizes the real opportunity — and the risks — for your specific documents and volumes.
AI Document Workflow Audit
Start with one workflow
A fixed-scope first step — size the opportunity on one real workflow, then decide what’s worth building.
- Audit fee
- Starts from LKR 75,000
- Credit toward implementation
- The audit fee is credited toward a CogentFlow implementation project if you proceed within 60 days.
- Duration
- 3–5 working days
- Scope
- Recommended for the first selected workflow only.
Credit applies to CogentFlow service fees only, for implementation projects started within 60 days. Third-party tool, hosting, API, and software costs are excluded.
FAQ
Frequently asked questions
What is an AI Document Workflow Audit?
A focused review of one selected workflow that shows whether automating it is worthwhile — and how to approach it safely.
How much does the audit cost?
It starts from LKR 75,000, and the fee is credited toward implementation if you proceed within 60 days.
How long does the audit take?
Typically 3–5 working days for one selected high-friction document, email, or reporting workflow.
Do I have to share sensitive or production data?
No. Sample documents can be anonymized before review, and sensitive production data is not required for the initial audit.
Which industries do you work with?
Primarily insurance, recruitment, BPO/KPO, and finance — plus legal, logistics, education, and other document-heavy teams.
Do you work with clients outside Sri Lanka?
CogentFlow is based in Sri Lanka and primarily serves local SMEs and mid-market teams, and is open to remote engagements.
Will AI replace my team?
No. CogentFlow is built around human-in-the-loop review with traceable outputs that point back to source documents. AI supports staff review and approval rather than replacing business judgment.
Contact
Ready to identify one workflow worth automating?
Send a short note with the workflow you want to review, or book a 20-minute discovery call.