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TwishivPlatforms

AI · Automation · Integration

Make your existing systems work smarter

We connect the business systems you already run, automate the repetitive work between them, and add practical AI where it creates measurable value — without replacing the software your team knows.

  • No rip-and-replace
  • Works with your existing stack
  • You own the code, always

Systems you already run

CRMERPEmailSheetsHRIS

Connect

One integration layer, monitored

AI + Automation

Extract · classify · route · act

Your workflow

Unchanged where it already works

Measurable outcome

Hours returned, errors down, status visible

Illustrative flow — Twishiv Platforms builds the middle three layers.

The problem

Your business already has the software. The problem is everything happening between it.

None of this appears in a process document. All of it costs hours every week.

Copying data between systems

The same record typed twice, with a transcription error rate nobody measures.

Manually building reports

Hours every week collecting and formatting numbers that already exist somewhere.

Searching through documents

The answer is in a PDF. Finding it takes half an hour and someone’s full attention.

Approvals living in email

No status, no audit trail, and a chase-up thread that nobody wants to own.

The spreadsheet that runs everything

Business-critical, understood by one person, one bad paste from a very long day.

Systems that do not talk

Each one fine alone; together, a reconciliation job that arrives every morning.

Repetitive employee tasks

Skilled people spending their week on work that never needed judgement.

Information you cannot use

Years of records in a database nobody can get a straight answer out of.

How it works

From manual process to intelligent workflow

Five stages. The middle four are the method; the first is how every engagement starts.

  1. 01

    Discover

    Identify the workflow and the business problem.

    We watch the work being done rather than reading the process document. What comes out is a costed plan and an architecture — yours to keep whether or not we build it.

  2. 02

    Connect

    Connect the systems and data you already use.

    Establish what moves where, agree the system of record for every field, and build the integration layer with retries and monitoring rather than hope.

  3. 03

    Intelligent

    Apply AI where it creates measurable value.

    Extraction, classification, summarisation, matching — the jobs AI is genuinely good at. Measured against a human baseline before anything depends on it.

  4. 04

    Automate

    Remove the repetitive work between the steps.

    The mechanical parts run on their own: routing, updates, notifications, filing. Anything requiring judgement still stops at a person.

  5. 05

    Measure

    Track the impact in business terms.

    Time, volume, error rate, turnaround. Instrumented from the start so the result is a number you can check rather than a claim we made.

Before and after

What actually changes

A worked example: invoice processing. The same process, before and after the work between the steps is removed.

Before

  1. Invoice arrives by email
  2. Someone opens it and reads the PDF
  3. Opens the accounting system
  4. Keys in vendor, date and every line item— typo risk
  5. Emails the approver
  6. Chases the approver— no status anywhere
  7. Files the PDF somewhere
  8. Updates the tracking spreadsheet

After

  1. Invoice arrives by email
  2. AI extracts vendor, dates, totals and line items
  3. Matched against the purchase order automatically
  4. Exceptions and mismatches flagged— only these need a human
  5. Approval routed by rule, with a live status
  6. Approver reviews a summary and decides— the judgement stays here
  7. Posted to the accounting system
  8. Document filed and indexed

AI does not replace the person. It removes the unnecessary work around them — and the decision that actually mattered still belongs to a human.

Control

Automate the work. Keep humans in control.

Every workflow sits at one of three levels, chosen deliberately rather than by default — and it can move as the numbers earn it.

Level 1

AI Suggests

The person decides

AI produces a recommendation, a draft or a shortlist. Nothing happens until someone chooses to act on it.

Judgement calls, anything customer-facing, and every process on day one.

Level 2

AI Assists

The person reviews

AI does the work and presents it complete. A person checks and approves, which takes seconds rather than the minutes doing it would have.

High-volume work where the output is easy to verify at a glance.

Level 3

AI Executes

The rules decide

Actions run automatically when confidence and business rules are both satisfied. Everything else falls back to a person, and every action is logged.

Well-understood, high-frequency steps with a measured error rate.

Technology

Built around your technology ecosystem

We adapt to your environment rather than forcing you into ours. If it has an API, a database or an inbox, it can usually be connected.

Business systems

  • CRM
  • ERP
  • HRIS
  • Accounting
  • Ticketing
  • Procurement

Data and storage

  • SQL databases
  • Data warehouses
  • Cloud storage
  • Document stores
  • Spreadsheets

Connectivity

  • REST and GraphQL APIs
  • Webhooks
  • Event queues
  • SFTP and file drops
  • Email

Where it runs

  • AWS
  • Azure
  • Google Cloud
  • On-premises
  • Your existing infrastructure

Security

Built for the environment you have to answer for

Security requirements are designed around your environment, data sensitivity and compliance obligations — not a checklist we apply to everyone.

We hold no security certifications and do not claim any. If your procurement process requires SOC 2, ISO 27001 or a signed BAA, tell us early — it changes what we can responsibly take on.

  • Least-privilege access to every connected system
  • Secure API authentication with credentials you own and can revoke
  • Encryption in transit and at rest
  • Audit logging of automated actions
  • Role-based access control
  • Human approval gates on consequential steps
  • Separated development, staging and production environments
  • Data minimisation — we move what the workflow needs, not everything
  • Configurable retention, set to your policy
  • Monitoring and alerting that reaches a person

Where we stop

How we handle your data and your code

You are being asked to let a vendor into your systems. That deserves a straight answer about where we stop, so here it is in writing.

  • Your data stays in your systems

    We build inside your infrastructure and your accounts wherever your environment allows it, and we take no copies away.

  • Nothing crosses between clients

    Your workflows and your process improvements are yours. They do not become the next engagement’s head start.

  • We do not train models on your data

    And we do not use your business as a case study without written permission.

  • We sign your NDA before the detailed conversation

    Not after it, and not once the scope is already on paper.

Start here

Begin with a two-week discovery

Fixed price, fixed scope, and no commitment to build anything afterwards. We map the workflow, work out what is genuinely automatable and what is not worth touching, and hand you an architecture and a costed plan for the build.

  • You keep the plan either way — take it to another firm if you prefer
  • No retainer, no lock-in
  • An honest answer if software is not the fix

Start small

Find one workflow worth automating

You do not need to replace your technology stack. Start with one process that costs your team hours every week, and find out what it would take to fix it.