Technical capabilities
Find the capabilities that fit your project. The right combination starts with what you need to make easier.
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Technical capabilities
Showing 39 services
Clarify the situation, the people involved and a useful next step.
Workflow mapping, constraints, integration needs, human review, monitoring and ongoing support requirements.
Turn scattered AI ideas into a phased plan with priorities, budgets, owners, risks, and success measures.
AI portfolio planning, feasibility review, build-versus-buy analysis, vendor shortlist, governance model, KPI design, operating model, budget ranges, and pilot requirements.
Get senior AI strategy support without hiring a full-time executive.
Monthly advisory cadence, roadmap governance, architecture review, vendor evaluation, internal enablement, risk review, stakeholder alignment, pilot measurement, and executive reporting.
Help leaders understand realistic AI opportunities, constraints, and next steps.
Workshop design, use case ideation, readiness exercises, workflow mapping, risk framing, prioritization matrix, leadership alignment, and recommendation memo.
Set clear rules for how employees can use AI safely and productively.
Internal AI use policy, data classification, approved tool list, prohibited use cases, prompt/data handling standards, review workflows, escalation paths, and employee guidance.
Help employees search company knowledge and ask questions across documents, policies, and procedures.
RAG, vector search, ingestion, chunking, metadata, access control, citations, answer evaluation, and feedback loops.
Draft replies, summarize issues, route tickets, and help support teams respond faster.
Helpdesk/CRM integration, classification, retrieval, escalation rules, human approval, QA sampling, and dashboards.
Support account research, follow-ups, meeting summaries, and cleaner CRM workflows.
CRM integration, transcript summarization, account research, lead enrichment interfaces, opportunity support, and governance rules.
Speed up content briefs, campaign planning, repurposing, and editorial review.
Brand voice systems, content generators, SEO support, CMS integration, review stages, asset metadata, and analytics support.
Turn PDFs, forms, invoices, reports, and messy files into structured information.
OCR, layout parsing, entity extraction, classification, confidence scoring, validation, exception queues, schema mapping, and APIs.
Connect AI to repeatable processes so routine work moves faster while important decisions stay reviewed.
Triggers, orchestration, APIs, queues, approval gates, retry handling, audit logs, and workflow monitoring.
Design agents and coordinated workflows with clear responsibilities and human review.
Agentic engineering, harness engineering, multi-agent orchestration, tool permissions, evaluation, stop conditions, observable runs and recovery paths.
Advanced personal agent systems for busy individuals with complex lives who want leverage without learning every tool themselves.
Private data mapping, calendar/task/email boundaries, personal knowledge base design, agent roles, tool permissions, memory strategy, approval gates, privacy controls, escalation paths, and ongoing tuning.
Add a helpful assistant to a website or portal for questions, lead qualification, or routing.
Chat UI, backend orchestration, retrieval, lead capture, routing, abuse prevention, analytics, rate limiting, prompt defenses, and CRM/email integration.
Test whether an AI system is useful, accurate, safe, and consistent enough to rely on.
Golden datasets, adversarial cases, hallucination checks, regression testing, model comparison, scoring, human rubrics, and release criteria.
Choose AI tools and models based on fit, cost, privacy, speed, and reliability.
Requirements, capability testing, benchmarking, security review, data retention review, deployment options, and recommendation scoring.
Create reusable prompt workflows for common tasks instead of one-off prompting.
Prompt architecture, reusable variables, context injection, output formats, examples, edge cases, tests, and version management.
Turn calls and meetings into summaries, tasks, follow-ups, and searchable records.
Speech-to-text, transcript cleanup, speaker handling, summary generation, task extraction, consent notes, retention, and integrations.
Use AI to understand, tag, generate, transform, or review visual assets.
Vision models, asset classification, metadata, generation workflows, moderation, brand review, storage, and approvals.
Design the cloud setup your project needs to run reliably, securely, and without waste.
Provider selection, environments, network boundaries, identity/access, secrets, logging, backup, cost model, and deployment architecture.
Guided OCI or Azure setup from decision to launch, with customer-controlled auth, billing, and secrets.
OCI/Azure foundation design, compartment/subscription strategy, IAM/RBAC guidance, VCN/VNet planning, Vault/Key Vault plan, budgets, tags, monitoring, backup checklist, launch readiness, and support runbook.
Prepare a cloud environment for AI assistants, document workflows, automation, and agent systems.
Application/API hosting design, storage for documents and artifacts, queue/workflow planning, vector/search considerations, service access, secrets, observability, cost controls, and data classification.
Make sure a newly launched cloud setup is healthy, observable, cost-aware, and supportable.
Post-launch monitoring review, budget and tag review, access register review, backup status review, incident-readiness check, resource inventory updates, and support cadence planning.
Build the behind-the-scenes services that connect apps, AI tools, and business systems.
REST/GraphQL APIs, auth, data models, business logic, queues, third-party APIs, observability, rate limits, and tests.
Create usable web interfaces for dashboards, tools, portals, and workflows.
Responsive UI, component systems, state, forms, accessibility, analytics events, API integration, performance, and browser testing.
Turn a product or workflow idea into a working prototype before a larger build.
Requirements, UX flow, data model, frontend, backend, AI/API integrations, deployment, analytics, user testing, and handoff notes.
Move data from where it lives into reports, dashboards, and AI-ready workflows.
Extraction, transformation, loading, schemas, warehouse/lake planning, dashboards, validation, scheduled jobs, and access controls.
Clarify what the website needs to say, who it serves, and how it supports sales or operations.
Messaging, site architecture, conversion paths, content model, SEO basics, analytics plan, accessibility requirements, and implementation roadmap.
Design and build a responsive website that feels credible, clear, original, and useful.
Static or CMS-backed frontend, responsive layouts, design system, performance, accessible markup, analytics, forms, content sections, and deployment.
Add content management, forms, accounts, data storage, integrations, and admin tools.
CMS setup, admin interfaces, database design, authentication, form handling, email workflows, API routes, storage, security, and deployment.
Understand how people use the site and which actions lead to business outcomes.
Event taxonomy, analytics configuration, tag management, conversion tracking, dashboards, privacy-aware measurement, consent needs, and reporting.
Review an AI idea or system for practical business risks before it becomes a bigger problem.
Risk mapping, NIST AI RMF alignment, data exposure review, model output risk, human oversight, incident scenarios, and mitigations.
Understand what data is used, where it goes, who can access it, and what rules should apply.
Data inventory, classification, retention, access review, vendor data flows, privacy notice inputs, and operating procedures.
Make public AI claims specific, supportable, and not oversold.
Claim inventory, evidence mapping, output accuracy support, risk language, marketing review, documentation needs, and legal coordination.
Bring shared AI tools, instructions and working practices into a configuration the team can maintain.
Shared prompts and instructions, tool connections, configuration management, role boundaries, evaluations, team onboarding and change review.
Help teams actually adopt a workflow instead of letting a promising tool sit unused.
Stakeholder mapping, change impact review, training, SOPs, adoption metrics, feedback loops, champion model, and iteration cadence.
Turn scattered knowledge into clear procedures, guides, and repeatable operating documents.
Process capture, templates, knowledge base structure, versioning, ownership, review cycles, and AI-assisted documentation.
Monitor and improve AI systems after launch so they stay useful and safe.
Performance review, prompt/version updates, data refresh checks, output QA, cost review, incident review, feedback analysis, and roadmap updates.
Ongoing technical strategy support for product, cloud, AI, website, and automation decisions.
Architecture review, backlog planning, vendor review, implementation planning, code/product review where scoped, executive reporting, and partner coordination.