VijnoraTechIT Consulting & AI Services

Clients

The work, and what it changed

Every engagement below is described the same way: the problem we were handed, what we built, and the result it produced. Where a number exists, we show it.

Case studies

Problem, solution, result

Filter by the pillar the engagement started in — though most of them ended up spanning more than one.

6 case studies shown.

  • AI Services

    a regional health insurer / Healthcare

    Cutting claims handling time from eleven days to four

    66%faster median handling

    Problem
    A 40,000-claim monthly backlog handled by 120 assessors, with cycle time drifting upward for six consecutive quarters.
    Solution
    Document extraction and triage in front of the existing claims system, with human review kept on every decision above a confidence threshold.
    Result
    Median handling time fell from 11.2 days to 3.8. No assessor roles were cut; the team absorbed a 30% volume increase without hiring.

    Read the case study

  • IT Consulting

    £11mcapital not committed

    Problem
    A board-approved £14m core banking replacement, twelve weeks from contract signature, with no independent view of the business case.
    Solution
    A four-week diagnostic covering the true cost of the existing estate, the migration risk profile, and three alternatives including doing nothing.
    Result
    The replacement was cancelled. A targeted modernisation of the four highest-cost components delivered 80% of the benefit for under a fifth of the budget.

    Read the case study

  • Technology Solutions

    a national logistics operator / Transport & Logistics

    Real-time visibility across 1,400 vehicles and nine depots

    <90sdata latency, from 18 hours

    Problem
    Nine depots on four systems, with fleet position reconciled overnight in a spreadsheet and planners making decisions on data up to 18 hours old.
    Solution
    A streaming ingestion layer over the existing telematics and depot systems, feeding one operational data model and a planner-facing view.
    Result
    Position data is current to under 90 seconds. Empty-running fell 12% in the first full quarter after rollout.

    Read the case study

  • AI Services

    a mid-size pharmaceutical company / Life Sciences

    Regulatory document search with citations the team trusts

    7 hrsreturned per person per week

    Problem
    Regulatory affairs staff spending an estimated 9 hours a week locating precedent across 240,000 submission documents spanning 22 years.
    Solution
    Retrieval over the submission archive with every answer citing the source paragraph, plus an evaluation set built by the regulatory team themselves.
    Result
    Search time fell to about 2 hours a week. The evaluation set — 340 questions with known answers — runs on every deployment.

    Read the case study

  • Applications Development & Integration

    a multi-site retailer / Retail

    Replatforming commerce ahead of a 4x peak

    4.1xpeak volume, no degradation

    Problem
    A monolithic commerce platform that had degraded through each of the last three peak trading periods, with no path to scale the checkout independently.
    Solution
    Incremental extraction of checkout, inventory and pricing into separately scalable services, with the monolith left serving everything else.
    Result
    Peak handled at 4.1x prior-year volume with no degradation. Checkout p95 latency improved from 2.4s to 610ms.

    Read the case study

  • Technology Solutions

    a distributed generation operator / Energy & Utilities

    Predictive maintenance on 600 distributed assets

    23%fewer unplanned outage hours

    Problem
    Unplanned outages across a distributed generation estate, with maintenance scheduled on fixed intervals regardless of asset condition.
    Solution
    Condition monitoring over existing SCADA telemetry, with failure signatures built from three years of historical outage records.
    Result
    Unplanned outage hours down 23% year on year. Maintenance visits down 18% through dropping fixed-interval work on healthy assets.

    Read the case study

In their words

What clients say when the engagement is over

  • “They told us in week three that the migration we had scoped would not pay for itself, and showed the working. That conversation saved us about eight months.”

    Chief Technology Officer, a mutual insurer

  • “The thing that stood out was the handover. Our team had been running the platform for six weeks before the engagement formally ended, and nothing broke when it did.”

    VP Engineering, a national logistics operator

  • “We had three vendors pitch an AI programme. VijnoraTech was the only one that arrived with an evaluation harness and a cost ceiling in the proposal.”

    Director of Data & AI, a mid-size pharmaceutical company

  • “Senior people stayed on the work from the first workshop to production cutover. That is rarer than it should be and it showed in the quality.”

    Group Head of Digital, a multi-site retailer

  • “The discovery was fixed price with a fixed end date, and the recommendation was something we could have taken to another firm. We did not need to.”

    COO, a distributed generation operator

  • “Our claims backlog had defeated two previous programmes. The difference this time was that they measured the baseline properly before touching anything.”

    Head of Operations, a regional health insurer

Next step

Your situation is probably not identical to any of these

It rarely is. Tell us what you are working against and we will point you at the closest thing we have actually done.