FINTECH
Support that resolves itself
A retrieval-grounded support agent for a digital bank — handling tier-1 and tier-2 conversations end to end.
−68%Support workload
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Case studies
AI IN ACTION.
Six projects. Six industries. One pattern: find the constraint, build the system, move the number.
FINTECH
E-COMMERCE
Every shopper, a personal store
Real-time recommendations across catalog and checkout for a fashion marketplace.
+31%Conversion rate
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LOGISTICS
Operations at machine speed
Document intelligence and exception agents for a national freight network.
42%Faster processing
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HEALTHCARE
Doctors back to patients
An ambient documentation copilot for a multi-clinic care network.
−55%Paperwork time
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SAAS
Activation on autopilot
An in-app onboarding agent that guides every new account to first value.
3.1×Activation rate
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PROF. SERVICES
Proposals in hours, not weeks
Knowledge-grounded proposal generation for a management consultancy.
−60%Proposal turnaround
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AI-powered customer support automation
−68%Reduction in support workload within one quarter of launch.
Challenge
A fast-growing digital bank was scaling support headcount 1:1 with customers. Tier-1 questions dominated the queue, response times drifted past 12 hours, and margins were eroding.
Solution
We deployed a retrieval-grounded support agent fluent in the bank's products, policies and tone. It resolves account, card and transaction conversations end to end, executes safe actions via APIs, and escalates sensitive cases to humans with a full summary attached.
Technology
LLMRAGTicketing APIEval harness
Results
68% of workload automated · First response time from 12h to 9 seconds · CSAT up 14 points · Zero compliance incidents across 40k+ automated resolutions.
E-COMMERCE · PERSONALIZATIONAI personalization and recommendation engine
+31%Increase in conversion rate across personalized sessions.
Challenge
A fashion marketplace served one storefront to every visitor. Generic merchandising flattened conversion, and the team couldn't manually curate for millions of sessions.
Solution
We built a real-time personalization engine: behavioral signals, purchase history and catalog semantics feed ranking models that reorder home, category and cart surfaces per shopper — continuously optimized through A/B evaluation.
Technology
Recommender modelsReal-time eventsEmbeddingsA/B platform
Results
Conversion +31% · Average order value +18% · Recommendation click-through 3.6× baseline · Full rollout in 10 weeks.
LOGISTICS · OPERATIONS AUTOMATIONAI-powered operations automation
42%Faster workflow processing across shipment documentation.
Challenge
A national freight network processed thousands of shipment documents manually each week. Errors caused customs delays, and exceptions sat in queues for days.
Solution
Our document intelligence pipeline extracts, validates and files shipment paperwork in seconds. Exception agents investigate discrepancies, draft corrections and route true judgement calls to operations staff with context pre-assembled.
Technology
OCR + LLMValidation rulesTMS integrationException agents
Results
Processing 42% faster · Document errors −71% · Exception backlog cleared daily · Operations team refocused on carrier relationships.
HEALTHCARE · DOCUMENTATION COPILOTClinical documentation copilot
−55%Reduction in time clinicians spend on paperwork.
Challenge
Clinicians at a multi-site care network spent two+ hours daily on visit notes — evenings included. Burnout was rising; documentation quality was falling.
Solution
An ambient copilot drafts structured visit notes from consultation audio, mapped to the network's templates and coding standards. Clinicians review, edit and sign — with strict consent flows and full audit logging.
Technology
Speech-to-textMedically-tuned LLMEHR integrationConsent & audit controls
Results
Paperwork time −55% · Note completeness +38% · Clinician satisfaction 4.7/5 · Deployed across 14 clinics.
SAAS · ONBOARDING AGENTSIn-app onboarding agent
3.1×Improvement in new-account activation rate.
Challenge
A B2B analytics platform watched users sign up, poke around, and churn before reaching first value. Static tours weren't moving activation.
Solution
We embedded an onboarding agent that reads each account's goals, data state and product usage — then guides setup, answers product questions in-context, and performs configuration steps on the user's behalf with permission.
Technology
AgentsProduct APIsIn-app assistantUsage signals
Results
Activation 3.1× baseline · Time-to-first-value −64% · Support tickets during onboarding −47%.
PROFESSIONAL SERVICES · PROPOSAL INTELLIGENCEAI proposal intelligence
−60%Faster proposal turnaround, with higher win quality.
Challenge
A 300-person consultancy lost winnable deals to slow proposal cycles. Partners assembled answers from memory and stale documents — taking weeks.
Solution
We indexed a decade of proposals, engagements and expertise into a knowledge system. Draft proposals now assemble themselves from winning precedents, with partners editing strategy instead of typing boilerplate.
Technology
RAGProposal generationCRM syncKnowledge graph
Results
Turnaround −60% · Proposal win rate +12 points · Partner time per proposal −70%.
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