Generative AI Consulting Solves Complex Problems
Our Generative AI services have a far-reaching impact, ranging from content creation automation to supply chain optimization to improved customer service
A custom generative model produces SEO-optimized product descriptions, variant messaging, and customer-persona-specific content based on product attributes and behavioral trends. The engine integrates with ecommerce CMS platforms, updating descriptions automatically at scale.
A generative image model produces on-brand product visuals, alternate color schemes, and lifestyle renderings using SKU metadata and brand guidelines. The system outputs platform-ready assets for ecommerce, ads, and social media at scale.
A fine-tuned language model trained on internal compliance frameworks produces custom regulatory text, standardized documentation, and audit-ready narratives. The system reduces turnaround times while maintaining jurisdiction-specific language accuracy.
A custom proposal-generation model synthesizes client risk profiles, investment goals, and product catalogs into tailored presentations. The engine automates document creation, ensuring compliance language and calculations remain accurate.
A transformer-based engine generates personalized after-care instructions using diagnosis codes, medication lists, and patient demographics. The model outputs readable, patient-specific education that improves adherence and post-visit outcomes.
A summarization model generates concise clinical narratives from encounter notes, lab values, and diagnostic records. Outputs are structured, ICD-aligned summaries ready for provider sign-off, reducing administrative burden.
A generative model creates automated campaign copy, email sequences, and in-stay promotional messaging aligned with guest segments and booking windows. The engine connects to PMS and CRM systems, ensuring campaigns reflect real-time occupancy signals.
A generative model produces personalized communication sequences based on loyalty data, stay history, and amenity usage. The system generates messages for booking, pre-arrival, in-stay, and post-stay touchpoints, increasing conversions and return visits.
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A generative AI engine that creates product descriptions, marketing copy, and summarized customer reviews for retail, hospitality, healthcare, and financial services audiences.
Automated generation of product, catalog, and promotional text
Review summarization and sentiment extraction
CEO: Faster content creation, higher conversion rates, stronger brand consistency
CIO: Reduced manual workload, scalable automation, clean structured outputs
A real-time fraud detection system that flags suspicious transactions, unusual patterns, and deviations from normal customer behavior.
ML anomaly detection on transactions
Real-time alerts with risk-level classifications
CEO: Reduced fraud losses and improved customer trust
CIO: Automated monitoring with fewer manual reviews and stronger security
A unified dashboard showing loan performance, portfolio trends, concentration risk, repayment behavior, and revenue impact across all accounts.
CEO: Clear visibility into portfolio health and profitability
CIO: A single source of truth with automated data refresh and governance
A generative AI tool that creates underwriting summaries, narrative credit memos, and KYC verification write-ups from structured and unstructured data.
CEO: Faster deal flow and reduced underwriting cost
CIO: Scalable, consistent documentation with lower manual workload
Black Manta Data Analytics
Preliminary Disclosure
We Deliver:
Initial consultation, problem outline, and project scope summary.
You Provide:
Business goals, challenges, and overview of current systems.
We Deliver:
High-level requirements, success criteria, and delivery roadmap.
You Provide:
Feature priorities, compliance needs, and goals.
We Deliver:
Proposed system design, integrations, and technology selection.
You Provide:
Feedback on integrations, API documentation, and vendor preferences.
We Deliver:
The DTAP environments, CI/CD, and access protocols.
You Provide:
Credentials, access approvals, and sample data for testing.
We Deliver:
Initial consultation, problem outline, and project scope summary.
You Provide:
Business goals, challenges, and overview of current systems.
We Deliver:
High-level requirements, success criteria, and delivery roadmap.
You Provide:
Feature priorities, compliance needs, and goals.
We Deliver:
Proposed system design, integrations, and technology selection.
You Provide:
Feedback on integrations, API documentation, and vendor preferences.
We Deliver:
The DTAP environments, CI/CD, and access protocols.
You Provide:
Credentials, access approvals, and sample data for testing.
We Deliver:
Initial consultation, problem outline, and project scope summary.
You Provide:
Business goals, challenges, and overview of current systems.
We Deliver:
High-level requirements, success criteria, and delivery roadmap.
You Provide:
Feature priorities, compliance needs, and performance goals.
We Deliver:
Proposed system design, integrations, and technology selection.
You Provide:
Launch confirmation and sign-off on operational readiness.
We Deliver:
Post-launch support, monitoring, and roadmap for enhancements.
You Provide:
Feedback, escalation contacts, and prioritization of updates.
We start by identifying specific pain points and measurable opportunities where Generative AI can add value—such as automating content creation, improving customer engagement, forecasting demand, or enhancing data analysis. Our goal is to connect every GenAI use case to your P&L impact, ensuring strategic and financial relevance.
Our Generative AI solutions are designed for fast, measurable returns. We define clear KPIs—like cost savings, time reduction, and customer satisfaction—and track them from pilot to scale. Clients typically see positive ROI through efficiency gains, faster workflows, and reduced operational overhead.
We recommend starting small with a focused pilot project targeting a high-impact area such as customer support automation, predictive inventory forecasting, or report generation. Once the value is proven, we expand and customize the solution to scale across departments.
We analyze each client’s industry to identify how GenAI reshapes competition and innovation. In retail, it personalizes customer journeys and optimizes supply chains; in hospitality, it tailors guest experiences; in healthcare, it improves documentation and diagnostics; and in finance, it enhances fraud detection and compliance automation.
We bridge the knowledge gap through a managed consulting model—handling technical complexity while guiding your team through adoption, integration, and workforce training. Our step-by-step approach allows non-technical leaders to gain results without deep AI expertise.
Pilot programs often show measurable impact within 6–12 weeks. Full-scale integration depends on data readiness, scope, and existing systems. We provide a clear roadmap, timeline, and scalability plan to ensure continuous progress from proof of concept to enterprise rollout.
We implement robust governance protocols, encrypted data handling, and strict compliance with HIPAA, GDPR, and PCI-DSS standards. Our infrastructure ensures sensitive information remains secure throughout training, deployment, and model maintenance.
We use advanced validation frameworks and human-in-the-loop auditing to monitor accuracy and detect hallucinations. Ethical oversight and prompt engineering safeguards reduce bias and ensure all GenAI outputs meet factual and regulatory standards.
We design GenAI architectures that integrate seamlessly with your current analytics, CRM, ERP, and business intelligence systems. Whether using APIs or custom connectors, our approach minimizes disruption and ensures interoperability across platforms.
We provide reskilling programs and tailored training to help teams adapt to new workflows. Our approach emphasizes augmentation, not replacement—empowering employees to collaborate with AI tools, manage AI-driven processes, and perform higher-value analytical work.
