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Solutions

Start with the problem worth solving.

Explore connected business solutions for finance, operations, customer service and production AI.

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Explore solutions.

Solutions

Finance operations

Connect invoices, approvals, settlement records and ledgers into a finance workflow your team can trust.

Solutions

Enterprise knowledge

Help people find and use approved knowledge while preserving document permissions and source context.

Solutions

Customer service AI

Connect multilingual assistance, customer context and human escalation across your service operation.

Solutions

Procurement operations

Connect supplier onboarding, quotations, approvals and obligations with clear evidence and ownership.

Solutions

Revenue & order operations

Connect pricing, proposals, orders and service commitments across customer-facing teams and platforms.

Solutions

Manufacturing intelligence

Bring production signals, engineering changes and material records into decisions that improve plant operations.

Solutions

Supply-chain visibility

Link demand, inventory, shipments and evidence so operations teams can resolve the exception that matters.

Solutions

Healthcare administration

Connect referrals, records and administrative handoffs while keeping clinical decisions with qualified professionals.

Solutions

Privacy operations

Map personal-data handling, assign responsibility and build reviewable request, retention and deletion workflows.

Solutions

Production AI & governance

Connect evaluation, secure integration, operating cost and human accountability across an enterprise AI programme.

Solutions

Service & field operations

Connect field work, maintenance, incident response and engineering handover with accountable operational workflows.

Explore the possibilities

Find the workflow
worth improving.

These are potential solutions to scope and evaluate. Each begins with a business problem and a way to measure a pilot.

Finance document and approval workspace

CFO: invoice intake is manual and supporting records are incomplete.

Extract invoice fields; validate supplier, PO and receipt against ERP rules; reviewer approves exceptions and payment.

What to measure

Processing time, field accuracy, exception age and duplicate payments prevented.

Discuss this workflow
Multi-rail reconciliation workbench

Finance head: UPI, card, gateway and bank settlements disagree.

Deterministic amount/date/fee matching; AI suggests explanations for ambiguous descriptions; authorised staff approve adjustments.

What to measure

Unmatched count/value, incorrect matches and time to resolve breaks.

Discuss this workflow
GST/e-invoice exception operations

Controller: tax documents fail validation or miss reporting windows.

Connect ERP to an authorised reporting path; validate fields and deadlines; AI explains failures; tax owners approve corrections.

What to measure

Rejections, late documents, repeat failures and repair time.

Discuss this workflow
Receivables and dispute-evidence workspace

CFO/sales operations: unpaid invoices lack acceptance or delivery evidence.

Join contracts, invoices, acceptance and correspondence; summarise dispute history and draft reminders; staff approve external communication.

What to measure

Days to assemble evidence, overdue value by cause and disputed-invoice resolution time.

Discuss this workflow
Supplier onboarding and document-control portal

Procurement head: supplier onboarding stalls across departments.

Extract supplied records, track expiry and missing items, connect ERP/vendor master; buyers approve eligibility and activation.

What to measure

Onboarding time, incomplete files and unauthorised master-data changes.

Discuss this workflow
Tender and quotation comparison workspace

Procurement head: quotations contain incomparable terms and hidden exclusions.

Normalise bids against an approved specification, flag missing clauses and commercial differences; reviewers select suppliers.

What to measure

Review time, missed exceptions and comparison accuracy.

Discuss this workflow
Contract obligations and renewal operations

COO/legal: signed obligations never become assigned work.

Extract candidate deliverables/dates from contracts; link approved clauses to owners and reminders; legal staff confirm interpretation.

What to measure

Missed deadlines, unassigned obligations and extraction error.

Discuss this workflow
Quote-to-order and margin-control platform

Sales operations: discount, pricing and order data diverge across channels.

Connect CRM, pricing and ERP; summarise deviations, apply approved rules, route discount exceptions to owners.

What to measure

Order rework, approval time and price discrepancies.

Discuss this workflow
Multilingual service operations

Customer-service leader: multilingual customers repeat their story across channels.

Retrieve approved answers, transcribe/translate supported languages, join CRM/ticket context; hand off uncertainty to staff.

What to measure

Verified resolution rate, repeat contacts, language-specific accuracy and escalation quality.

Discuss this workflow
Permission-aware enterprise knowledge assistant

CIO: employees cannot find the current answer safely.

Index approved sources with source links and effective dates; enforce access outside the model; escalate conflicting documents.

What to measure

Grounded-answer rate, stale-source use, retrieval relevance and access leakage.

Discuss this workflow
Proposal and security-questionnaire workspace

Sales/RFP teams: proposals reuse outdated or confidential claims.

Retrieve approved credentials and answers, identify unanswered requirements, draft cited responses; owners approve commitments.

What to measure

Turnaround, unsupported claims and confidential-data exposure.

Discuss this workflow
Operational workflow and bottleneck analysis

Operations director: processes run through email with invisible handoffs.

Connect permitted system events, map delays, cluster rework and propose changes; process owners validate causation and priorities.

What to measure

Waiting time, rework, completion rate and event-data coverage.

Discuss this workflow
Visual quality inspection programme

Manufacturing quality head: defects are discovered too late.

Capture representative images, evaluate model performance by defect class, connect quality records; quality staff control disposition.

What to measure

Missed defects, false rejects, performance under lighting changes and inspection throughput.

Discuss this workflow
Batch genealogy and containment workspace

Manufacturing head: a suspect component cannot be traced to finished goods.

Link receipts, lots, assemblies and shipments; extract legacy references; quality staff confirm containment/release decisions.

What to measure

Trace completeness, affected-stock identification time and incorrect associations.

Discuss this workflow
Engineering change-control platform

Engineering head: design revisions do not reach procurement and production.

Join document versions, BOMs and purchase orders; summarise changes; authorised engineers approve releases.

What to measure

Obsolete-version use, missed affected orders and change-review time.

Discuss this workflow
Reliability and maintenance intelligence

Plant/asset manager: faults recur despite closed maintenance tickets.

Combine telemetry, asset IDs, parts and work orders; forecast anomalies and retrieve previous fixes; engineers diagnose and authorise action.

What to measure

Repeat failures, false alarms, planned vs unplanned work and prediction lead time.

Discuss this workflow
Demand and replenishment decision support

Supply-chain head: promotions cause stockouts and over-ordering.

Connect SKU/store demand, campaigns and supplier lead times; show forecast ranges and constraints; planners approve purchases.

What to measure

Forecast error against baseline, service level, stockouts and excess stock.

Discuss this workflow
Returns and inventory-condition control

Retail operations: returned stock appears available before inspection.

Separate saleable, damaged, incomplete and quarantined stock; suggest classifications from records/images; staff release inventory.

What to measure

Overselling, incorrect status, inspection backlog and refund turnaround.

Discuss this workflow
Logistics exception and proof-of-delivery platform

Logistics head: shipment events, documents and invoices are disconnected.

Join carrier/WMS/TMS data and authorised logistics interfaces; extract documents and predict exceptions; operators approve instructions.

What to measure

Missing delivery evidence, exception age and avoidable delay cost.

Discuss this workflow
Network commerce operations and reconciliation

Commerce operator: cancellations, refunds and complaints cross network participants.

Implement event tracking, duplicate protection, settlement records and grievance evidence; AI prepares summaries; staff resolve disputes.

What to measure

Unresolved grievances, refund completion and unmatched settlements.

Discuss this workflow
Project and asset handover dossiers

Project director: construction handover is blocked by missing documentation.

Link BOQs, installed assets, test records, warranties and as-builts; flag missing evidence; engineers sign off acceptance.

What to measure

Closeout time, missing dossiers and rework requests.

Discuss this workflow
Field-service and asset-support platform

Facilities/field-service head: technicians arrive without the right information or parts.

Offline work orders, asset history, parts availability and approved manuals; assistant retrieves instructions; technicians validate work.

What to measure

First-time completion, repeat visits and unavailable-parts delays.

Discuss this workflow
Healthcare administration and interoperability

Hospital/diagnostic operator: referral, appointment and claim handoffs are fragmented.

Use permitted records, consent, suitable data standards and approved integrations; extract administrative fields; clinicians retain clinical decisions.

What to measure

Unacknowledged referrals, duplicate records, booking delays and extraction errors.

Discuss this workflow
Cold-chain and batch-evidence platform

Pharma/food operator: batch handling evidence is incomplete.

Join sensor intervals, custody events and stock identity; detect data gaps/excursions; qualified staff decide safety and release.

What to measure

Missing intervals, wrong batch matches and time to assemble evidence.

Discuss this workflow
Privacy operations engineering

Privacy/IT leader: data cannot be found, corrected or deleted consistently.

Data inventory, request routing, retention jobs and evidence; AI assists classification; owners validate lawful scope and exceptions.

What to measure

Request completion, verified deletion coverage and incomplete system mappings.

Discuss this workflow
AI security and agent-control programme

CISO: generative AI tools expose data through excessive permissions or unsafe actions.

Identity boundaries, approved tools, test attacks, logging and approval gates; AI assists triage; owners authorise consequential actions.

What to measure

Leakage tests, unauthorised-action attempts, blocked misuse and recovery behavior.

Discuss this workflow
AI evaluation and unit-economics platform

AI programme owner: impressive demos have no quality or cost baseline.

Versioned evaluation sets, model/prompt comparisons, task-level costs and fallback monitoring; business owners set acceptance thresholds.

What to measure

Cost per successful task, unsupported answers, failure rate, latency and regression rate.

Discuss this workflow
Incident readiness and recovery-evidence programme

CISO/IT head: incident reporting and recovery depend on ad hoc work.

Map reporting ownership, logging, time synchronisation, evidence collection and recovery tests; specialists validate incident reports.

What to measure

Detection-to-triage, evidence completeness, recovery-test results and reporting readiness.

Discuss this workflow
Identity lifecycle and access-review automation

IT operations: employee access remains active after role or vendor changes.

Connect HR, directory and application entitlements; flag mismatches; approved owners authorise changes.

What to measure

Orphaned accounts, revocation delay and review completion.

Discuss this workflow
Managed engineering and modernisation programme

Product/GCC leader: knowledge and delivery ownership disappear when staff change.

Map dependencies, document systems, improve tests and release processes; AI assists code understanding/review; engineers own acceptance.

What to measure

Change-failure rate, deployment lead time, handover completeness and incident recovery.

Discuss this workflow
Private enterprise AI workspace

CIO: confidential knowledge cannot enter an uncontrolled AI service.

Choose hosting/model boundaries, approved datasets, access isolation and retention; security and business owners approve data use.

What to measure

Access isolation, answer quality, operating cost and control coverage.

Discuss this workflow
Agentic workflow orchestration

COO: an assistant can answer questions but cannot complete a controlled process.

Connect approved tools, define bounded actions, durable state, retries and audit trails; approvals govern consequential changes.

What to measure

Successful task completion, unauthorised actions, rollback success and exception burden.

Discuss this workflow
Multimodal evidence-processing platform

Operations leader: useful information spans scans, photographs, tables and voice notes.

Combine OCR, image interpretation and speech transcription with source references; reviewers resolve ambiguous evidence.

What to measure

Accuracy by input type, review time and source traceability.

Discuss this workflow
AI model selection and evaluation service

Technology leader: teams cannot choose between models or explain quality differences.

Benchmark candidate models on permitted task-specific data, cost and latency; owners select the operating trade-off.

What to measure

Task success, cost, latency, language coverage and failure categories.

Discuss this workflow
Managed AI platform and LLM operations

CTO: a successful AI pilot becomes expensive and unstable in production.

Version datasets/prompts/models, monitor drift and quality, route requests and maintain fallback; release owners approve changes.

What to measure

Regression rate, service availability, cost per accepted result and recovery time.

Discuss this workflow
Conversation intelligence and service-quality workspace

Sales/service head: call information is lost after conversations end.

Transcribe permitted calls, extract commitments, retrieve relevant policies and create reviewed CRM updates; authorised staff handle quality findings.

What to measure

Commitment capture, transcription accuracy, correction time and follow-up completion.

Discuss this workflow
AI-assisted legacy understanding and migration

Engineering head: old application knowledge is scattered across code and documents.

Generate reviewed dependency explanations, test candidates and migration documentation; engineers verify behavior and reconciliation.

What to measure

Verified test coverage of critical flows, migration defects and documentation accuracy.

Discuss this workflow
AI adoption and workforce enablement

Business head: teams adopt AI without knowing appropriate uses or ownership.

Role-specific training, approved use-case library, practical exercises and feedback; managers own process adoption.

What to measure

Demonstrated task competence, useful adoption and policy exceptions.

Discuss this workflow
AI product and customer-experience engineering

Customer-experience leader: a public-facing AI feature can damage trust through wrong answers.

Design grounded assistants, visible sources, handoffs and accessible interactions; product owners set success and escalation rules.

What to measure

Resolution quality, fallback usefulness, unsupported answers and user correction rate.

Discuss this workflow
Enterprise AI integration and tool architecture

Enterprise architect: AI proofs of concept cannot connect safely to core applications.

Build authenticated tool interfaces, fine-grained permissions, event handling and observability; systems owners approve operations.

What to measure

Integration reliability, duplicate actions, permission violations and end-to-end traceability.

Discuss this workflow

Start with the problem

Find the cause.
Plan the next step.

Practical guides for the operational issues that bring teams to us. Understand what to investigate, where technology helps and how to measure progress.

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