Ecommerce
Returns & refund agent
Reads request, checks policy, decides refund/replace/decline, writes to OMS
↓ 71% tier-1 tickets
We integrate GPT-class OpenAI models into your product with owned latency, real cost control, and proper evaluation suites, so you ship measurable work instead of impressive demos.
We measure GPT on outcomes, not vibes latency, cost, and accuracy you can defend.
We pin the model, instrument every call, route between GPT-4o, GPT-4o-mini and o1 by intent. You see spend by feature, by team, by day. The bill is predictable. Capped. Agreed before kickoff.
Golden sets. Regression tests. Hallucination scoring. A CI pipeline that catches prompt drift before it reaches production. We won't ship a feature we can't measure.
Every prompt, every fine-tuned weight, every eval set - yours. No royalty. No lock-in. Take it in-house on day 180 with the full codebase and a working on-call runbook.
Impressive demos die without owned latency, cost control, and real evaluation.
Whoever owns the GPT bill: we tune accuracy and spend before you scale.
Extraction, drafting, classification, and copilots earning their keep live.
Reads request, checks policy, decides refund/replace/decline, writes to OMS
Reads user context, drafts replies, runs actions, summarises threads
Transcribes, structures, codes ICD-10, flags missing fields
OCR + GPT extracts invoice/contract/claim fields. Routes exceptions only
Reads NDA/MSA against playbook, flags non-standard clauses, drafts redlines
Classifies delays, drafts customer comms, surfaces re-route options
Search, hold, modify, document check, supplier ping - full advisor handoff
Slack-native answers from wiki, runbooks, code - with citations
Generates JDs, scores CVs against criteria, drafts first-round questions
We move from demo to production build, shipping with metrics on a dashboard.
Sit with your team, instrument the actual workflow, measure the baseline. One capability scoped to a target your CFO signs off on. Either side can walk after this.
Eval-driven prompt engineering. Real user inputs. Your edge cases. Your tone of voice. Wired to at least one live data source. Demo on Friday - not slides about the demo.
Production integrations. SSO. Rate limiting. Retries. Fallbacks. Cost instrumentation. HITL queues. Observability. Audit logs. The 60% of work that decides if this survives next quarter.
Runbooks. Training. Governance review. Prompt versioning docs. On-call drills. Optional 3-month SLA for tuning and evolution.
The OpenAI, routing, and eval stack that keeps GPT fast, cheap, and accurate.
Live systems judged on cost, latency, and accuracy not demo polish.
Deep teams with industry context - not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.
Telemedicine, EHR/EMR, claims automation, clinical decision support. HIPAA, HL7/FHIR, GDPR. Active partnerships with 14 hospital networks.
Core banking, neobank, payments, lending, KYC, fraud. PCI DSS, RBI sandbox, Open Banking, ISO 20022. We've shipped to Tier-1 banks in 4 countries.
Headless commerce, marketplace, omnichannel, AR try-on, AI recommendations. Shopify Plus, BigCommerce, custom. 22+ storefronts live with avg +34% AOV.
Last-mile optimisation, TMS, WMS, fleet IoT, route prediction, real-time tracking. Shipped to UPS, Alod and 11 other logistics operators.
OTT platforms, content recommendation, real-time encoding, multi-DRM, distribution at network scale. Sony Pictures, Hello Baby Direct and more.
LMS, adaptive learning, AI tutors, government portals. Shipped UKIERI for the British Council and 6 state-government education portals.
Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.
We constantly come up with top-tier resources and breathtaking
ideas that would help you stay informed about
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OpenAI models automate complex workflows, personalize customer experiences, and generate data-driven insights-resulting in better efficiency, cost savings, and enhanced customer satisfaction.
OpenAI and customized AI solutions provide significant value across a wide array of sectors, especially those with heavy regulation, complex workflows, or massive data processing needs. These custom solutions are essential for meeting industry-specific compliance and security standards.
Industries that benefit include:
Prompt design is critical to guide AI models for reliable, brand-safe, and accurate output, directly impacting the usefulness and safety of the final application.
We offer continuous monitoring, performance analysis, and iterative improvements ensure sustained value and adaptation to evolving business and technical needs.
Fullestop works with leading OpenAI models like the GPT series for language tasks, DALL·E for visual content generation, and advanced speech and voice solutions, tailoring model selection for each business need.
Yes, models are fine-tuned using proprietary data, so outputs are personalized, accurate, and aligned with your domain expertise and brand tone.
Fullestop leverages OpenAI's Moderation API and best practices, actively filtering undesirable content and ensuring all interactions remain safe and on-brand.
Fullestop implements strict data privacy and security standards. Enterprise data is protected, not used to train public models, and safety layers like Moderation API assure safe user interactions.
Fullestop enables customer support automation, content creation at scale, predictive analytics, smart sales tools, voice interfaces, and coding assistance-with measurable business outcomes.
Success is tracked using KPIs like operational efficiency, cost reduction, customer experience scores, and specific business impact metrics, aligning every solution to measurable outcomes.
