01.1 · AI SOLUTIONS

AI that delivers measurable results.

We turn AI from an idea in the strategy deck into something your people use every day. Our assistants and AI analysts work inside Microsoft Teams, Slack and WhatsApp, answering from your own policies and data, while document AI processes invoices and forecasts learn from your ledgers. Each use case begins with a business case and is measured against it.

0+
assistants live in Teams, Slack and WhatsApp
0%
average cut in manual processing time
0 wks
from first workshop to a live pilot
0
client records used to train public models
AI WHERE YOUR PEOPLE ALREADY WORK

Ask a question in Teams. Get the answer in seconds.

We build AI assistants and analysts that sit inside Microsoft Teams, Slack and WhatsApp and draw on your own trusted data. Your people simply ask, in the tools they already use every day, and every answer links back to its source.

Microsoft TeamsSales North · TDC Analyst
RM
Regional Manager
How did Lahore do against target last week? Break it down by channel.
TDC Analyst AI
Lahore reached 94% of target last week: PKR 182m against 194m. Modern trade beat target; general trade fell short in two districts.
Source: Sales model · refreshed 07:00 · Open dashboard
Slack# risk-ops
Ops Copilot AI
Repayment failures are 2.3× forecast in the last hour, concentrated on one payment partner. 412 loans affected.
SA
Shift Lead
Draft an SMS for the affected borrowers and hold collections calls for today.
Ops Copilot AI
Draft ready for approval, and 412 calls paused until 18:00. I will post an update when the partner confirms the fix.
  • Microsoft TeamsStaff assistants and AI analysts in chats and channels.
  • SlackOperations copilots, alerts and approvals in your channels.
  • WhatsAppCustomer service in English, Urdu and Arabic.
  • Web and intranetEmbedded assistants on your site and portals.
  • ERP and CRMActions in TDC ERP, SAP, Dynamics and Salesforce.
  • EmailScheduled digests and drafted replies for review.

Illustrative conversations. Figures shown are examples.

SCOPE OF WORK

What our work covers.

Choose the full scope or only the workstreams you need. Each one comes with defined deliverables, a named owner on our side and a clear sign-off on yours.

  1. 01.1.1

    Use-case discovery and business case

    Structured workshops with finance, operations and customer-facing teams to surface where time and money leak. Every idea is scored on value, feasibility, data availability and risk, so the first pilot is the one most likely to pay back.

    Deliverables
    • Use-case long list and scoring matrix
    • ROI model for each shortlisted use case
    • Twelve-month AI roadmap
  2. 01.1.2

    Data readiness and private architecture

    We assess the data each use case depends on and design a deployment inside your own cloud tenancy or data centre, using enterprise model services or open-weight models where data must never leave the building.

    Deliverables
    • Data readiness report
    • Reference architecture and hosting decision
    • Security, privacy and model-risk assessment
  3. 01.1.3

    Assistants in Teams, Slack and WhatsApp

    Chat assistants that live where your people already work. Staff ask in Microsoft Teams or Slack, customers ask on WhatsApp or your website, and the assistant answers from your circulars, manuals and systems in English, Urdu or Arabic, citing its source, taking actions such as raising a ticket, and handing over to a person when it should.

    Deliverables
    • Teams, Slack, WhatsApp or web assistant
    • Integrations with ERP, CRM and service desk
    • Evaluation set of 300+ real questions
  4. 01.1.4

    AI-assisted analytics and forecasting

    An AI analyst on top of your governed data: managers ask questions in plain language and get figures, charts and a link to the dashboard, daily digests arrive in their channel, anomalies are flagged as they happen and variance commentary is drafted for review. Forecasts for demand, cash and credit are back-tested before anyone relies on them.

    Deliverables
    • Natural-language Q&A over your BI models
    • Scheduled digests and anomaly alerts
    • Back-tested forecasting models
  5. 01.1.5

    Intelligent document processing

    Invoices, bank statements, KYC packs and trade documents read, validated against your master data and posted to the ERP, with low-confidence items routed to a human reviewer instead of guessed.

    Deliverables
    • Extraction models per document type
    • Exception queue with human review
    • Two-way ERP integration
  6. 01.1.6

    Governance and adoption

    The policies, controls and training that let auditors, regulators and staff trust the system, and the change programme that makes sure people actually use it.

    Deliverables
    • AI acceptable-use policy
    • Model inventory and risk register
    • Training for leadership, users and administrators
HOW THE ENGAGEMENT RUNS

A typical first use case, from workshop to scale.

  1. 01
    Discover
    Weeks 1–2
    • Stakeholder workshops
    • Use-case scoring
    • Baseline current effort
    OutputPrioritised use case and business case
  2. 02
    Design
    Weeks 3–4
    • Data access and quality checks
    • Architecture and security review
    • Success metrics agreed
    OutputSigned-off solution design
  3. 03
    Build pilot
    Weeks 5–10
    • Iterative build in two-week sprints
    • Weekly demos to users
    • Integration with source systems
    OutputWorking pilot with real users
  4. 04
    Validate
    Weeks 9–12
    • Accuracy testing against the evaluation set
    • Controls walkthrough with risk and audit
    • Benefit measurement
    OutputGo / no-go evidence pack
  5. 05
    Scale
    Weeks 13–16
    • Roll-out to all users
    • Training and playbooks
    • Hand-over to support
    OutputProduction service
  6. 06
    Run and improve
    Week 17 onwards
    • Monthly accuracy reviews
    • New content and documents
    • Next use case from the roadmap
    OutputQuarterly value report
COMMITMENTS

What every AI engagement commits to.

≤ 10 wks
from kick-off to a pilot in the hands of real users
≥ 95%
answer accuracy target on the agreed evaluation set
100%
of low-confidence outputs routed to a human reviewer
Your tenancy
your data stays in your own cloud or data centre
SELECTED ENGAGEMENTS

Proven results for leading organisations.

We keep our clients' identities confidential, but we are proud to share what we achieved together and how we went about it.

Consumer goodsMicrosoft TeamsNDA

A national consumer-goods distributor

Challenge

Regional and area managers waited up to four days for the MIS team to answer ad-hoc sales questions, and more than 300 report requests a month were piling up.

Approach

An AI analyst in Microsoft Teams on top of the Power BI sales model. Managers ask in English or Roman Urdu and get the figure, a chart and a link to the dashboard, with row-level security so each sees only their territory, plus an 8 am digest of yesterday’s sales against target.

1,600+
questions answered a month
-65%
ad-hoc report requests to the MIS team
4 days → 30 s
time to answer a sales question
BankingMicrosoft TeamsNDA

A multi-branch commercial bank

Challenge

Branch staff were searching 1,400 pages of circulars and product policies to answer customer questions, and head office fielded hundreds of escalations a week.

Approach

A private policy assistant inside Microsoft Teams, running in the bank’s own cloud tenancy, answering in English and Urdu with a citation to the exact clause, and content permissions mirroring the bank’s roles.

70%
fewer queries escalated to head office
4 min → 20 s
average time to a policy answer
1,100
staff onboarded in six weeks
Financial servicesSlackNDA

A digital lender

Challenge

Collections and support agents switched between five systems to answer one customer, and the risk team learned about spikes in failed repayments a day late.

Approach

A Slack operations assistant that pulls loan, repayment and ticket history on request, drafts customer replies for approval, and posts an alert to the risk channel the moment repayment failures move away from forecast.

-42%
average handling time per customer query
Next day → minutes
time to spot a repayment anomaly
85
agents using it every shift
ManufacturingSlackNDA

A diversified industrial group

Challenge

Group finance spent three days of every close writing variance commentary for fourteen entities, and unusual journals were often found after the board pack had gone out.

Approach

An AI month-end analyst that reads trial balances from the data warehouse, flags unusual movements and journals, drafts variance commentary for a reviewer to approve, and posts close status to the finance team’s Slack channel.

3 days → ½ day
to draft variance commentary
38
journal anomalies caught before reporting in the first quarter
14
entities covered every close
HealthcareMicrosoft TeamsNDA

A private hospital group

Challenge

Four thousand staff on rotating shifts asked HR and IT the same questions every day, and anything raised at night waited until morning.

Approach

An HR and IT helpdesk assistant in Microsoft Teams that answers policy and how-to questions around the clock, resets passwords through the identity platform, and raises a service-desk ticket with full context when it cannot help.

58%
of queries resolved without an agent
24/7
answers for night and weekend shifts
4.6 / 5
staff satisfaction rating
LogisticsERP integrationNDA

A regional freight forwarder

Challenge

Around 9,000 supplier invoices a month in three currencies were keyed by hand, delaying job costing and month-end by up to a week.

Approach

A document-AI pipeline that reads each invoice, matches it to the shipment and purchase order, and posts it to the ERP, with mismatches sent to a review queue.

83%
of invoices processed with no human touch
5 → 1 day
invoice-to-ledger cycle time
3 FTE
redeployed to credit control
WHO YOU WORK WITH

A senior team, dedicated to you.

  • AI solution leadOwns the business case, the roadmap and the result.
  • Data and ML engineersBuild the pipelines, retrieval layer and models.
  • Chartered accountantMakes sure outputs reconcile and controls hold up to audit.
  • Change and training leadTurns a working system into a used one.
TOOLS AND PLATFORMS

The platforms we work with.

  • Microsoft Teams
  • Slack
  • WhatsApp Business Platform
  • Microsoft Bot Framework
  • Azure OpenAI
  • AWS Bedrock
  • Open-weight models (Llama, Mistral)
  • Power BI
  • Azure AI Document Intelligence
  • Python
  • pgvector
  • Power Automate
QUESTIONS

Frequently asked questions.

Can the assistant live in Microsoft Teams or Slack?

Yes, and that is where most of ours live. Staff use it in the channels and chats they already have open, with your existing single sign-on, so there is nothing new to install or learn. Customer-facing assistants run on WhatsApp or your website.

Can managers ask questions about our numbers?

Yes. AI-assisted analytics sits on your governed BI models, so answers come from the same reconciled figures as your dashboards, respect each user’s access rights and link back to the report they came from.

Will our data be used to train someone else’s model?

No. We deploy on enterprise services with training opt-outs contractually in place, or on open-weight models running inside your own environment. Your data stays yours.

How do you measure whether AI is working?

Before we build, we baseline the current effort, error rate or cycle time. The pilot is judged against that baseline and against an evaluation set of real questions or documents agreed with your team.

Do we need a data warehouse first?

Not always. Knowledge assistants and document processing can start straight away. Forecasting and analytics use cases usually benefit from the data foundations described under Data Analytics, and we will tell you honestly which applies.

START A CONVERSATION

Let’s talk about what comes next.

Tell us a little about your organisation and what you are trying to achieve. A senior member of our team will be in touch within one working day to arrange a conversation.

Thank you. A member of our team will be in touch within one working day.

Karachi (HQ)

506, 5th Floor, Progressive Centre,
30-A, Block 6, PECHS,
Shahrah-e-Faisal, Karachi, Pakistan

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Headquartered in Karachi, serving clients across Pakistan, the UAE, Saudi Arabia and Afghanistan.