From Claude-powered agents to Power BI dashboards your leadership opens every morning — we are not a slide-deck shop. Engagements end with running pipelines, integrated systems, and analytics your operators rely on daily.
Custom AI agents, internal copilots, and document/data extraction — built on the Anthropic API and the Claude Agent SDK. Production-grade prompt engineering, retrieval, and evaluation, not demo magic.
Agents that read your SaaS data, take actions in tools you already use (Salesforce, Slack, Airtable, Power BI), and report back. Tool-use orchestration, guardrails, and audit trails.
PDFs, contracts, claim forms, invoices, EOBs — into clean structured data. Claude handles the messy real-world variability; we wire it into your warehouse and downstream systems.
Domain-tuned assistants on top of your own knowledge — policies, runbooks, support tickets, account history — with proper RAG and source citation.
Document ingestion, chunking, embedding, retrieval, re-ranking — built to scale and stay fresh. Tied into Azure AI Search, Pinecone, or your existing data lake.
Prompt design, eval suites that measure accuracy / latency / cost, and the discipline to compare model versions before you bet a workflow on one.
Multi-step agents using the Claude Agent SDK — tool use, subagents, memory, and the operational instrumentation to run them in production.
Synapse, Microsoft Fabric, Data Factory, and Zapier — connecting your SaaS, ERPs, and warehouses into one trusted source. Pipelines that don't break when the team rotates.
Synapse workspaces, dedicated SQL pools, serverless pools, data lake integration, and pipeline orchestration. Cost-aware sizing, partitioning, and governance baked in.
Lakehouse and warehouse architecture in Fabric. OneLake, Direct Lake mode for Power BI, Dataflows Gen2, and the unified semantic model — replacing the legacy patchwork.
Production pipelines on Azure Data Factory, AWS Glue, SSIS, or Airflow. Idempotent, monitored, alerted — chosen for the team that will operate them, not the trend graph.
Multi-step Zaps tying SaaS tools together — onboarding, billing, document generation, reporting. Auditable, monitored, maintainable as your business grows.
Pulling data from Salesforce, QuickBooks, Stripe, Airtable, Slack, Google Sheets, HubSpot — and unifying it into the warehouse for cross-system reporting.
ADT messages, 270/271 eligibility, 837/835 claims & remittance, 277 claims status. CorePoint workflows with A2 high-availability failover for Epic, Cerner, Midas+.
Dimensional & Data Vault. Conformed dimensions, SCDs, RBAC, lineage, PII/PHI handling — designed for HIPAA, SOC 2, and your sector's regulators.
Sales and marketing websites, form capture pipelines, SEO, and analytics — built so your digital presence works as hard as your team. Conversion-ready, measurable, and tied back to the CRM and warehouse from day one.
Custom-built corporate, product, and campaign sites — fast, accessible, mobile-first, and SEO-ready. Bootstrap or modern frameworks; clean HTML/CSS/JS so your team can maintain content without a developer in the loop.
Lead forms wired straight into the systems you already use — Formkeep, Azure Functions, or Zapier as the capture layer; HubSpot, Salesforce, Airtable, or Google Sheets as the destination. Spam protection, validation, and audit trail built in.
SEMrush-driven keyword research, technical SEO audits, on-page optimization, schema.org / JSON-LD structured data, sitemap and robots.txt discipline. Search Console wired up so you can see what's actually working.
Google Analytics 4 and Google Tag Manager — event-based tracking, conversion goals, UTM discipline, and attribution back to the campaigns that produced revenue. Optional Microsoft Clarity for behavioral insight.
Targeted landing pages with the right form, the right messaging, and the right tracking — built fast for paid search, email, or partner campaigns. A/B-ready where it matters.
Captured leads pushed into HubSpot, Salesforce, or your warehouse — with deduplication, ownership rules, and the trigger that pings the right person on Slack or email within seconds.
Azure-first architecture, multi-tenant SaaS, secure identity, and the migration discipline to move legacy systems without breaking what's running. Production-grade defaults, not demos.
Tenant isolation, scaling patterns, identity, and operational tooling — designed for B2B SaaS that needs to onboard customers without re-architecting.
Azure AD with MFA, App Gateway / WAF, Key Vault, App Services, Functions, Azure SQL, Synapse, Data Lake. Web Jobs, Application Insights, and Hangfire for background work.
WinForms / WPF / WCF desktop apps re-platformed to React + REST APIs on Azure. Phased migration that doesn't break the customers you have today.
Azure DevOps pipelines, environment management, monitoring, and release discipline — the operational habits that keep your release cadence green.
SSO, OAuth/OIDC, MFA, SAML, role-based access. Audit logging, key management, secret rotation. Security baked into architecture, not bolted on at the end.
Azure-first but AWS-fluent. AWS Glue, Lambda, S3, Athena, Redshift, HealthLake — certified Solutions Architect and Data Analytics Specialty on staff.
The chart is the easy part. We spend the engagement upstream — defining the metric with operators, modeling the data, and only then designing the dashboard your leadership will actually adopt.
Power BI Service, Embedded, and Paginated. Row-level security, premium capacity sizing, gateway architecture, custom themes that match your brand. Direct Lake on Fabric where it fits.
Excel done well — Power Query, Power Pivot, dynamic arrays, structured tables. Models the finance team can audit and the CFO can present. For the cases where a BI tool would be overkill.
Sessions with operational leaders — fleet owners, ops managers, finance, CS — to define what "good" looks like before a single chart is built.
Quote conversion, fleet utilization, revenue forecasting, profit margin variance, claims status, denial rates, productive vs. non-productive labor hours. Real metrics, not vanity.
Board-grade summaries built on the same governed model as the operational layer. Single source of truth, consistent definitions, no spreadsheet drift.
Replacing legacy SAP BO and other reporting estates with Power BI / Tableau — without losing the audit, compliance, and operational reports the business runs on.
Dashboards, server administration, embedded reporting via API. Tableau Desktop Specialist on staff; experience with both Tableau Cloud and Server.
We adapt to where you are. Tell us the constraint — timeline, budget, or capacity — and we'll propose the shape that fits.
A defined outcome, a defined timeline, a defined price. Right for AI agent pilots, dashboard rollouts, integration builds, or platform migrations with a clear destination.
A senior practitioner embedded as your fractional Head of Data, Head of AI, or Director of Engineering — for the months when you need the role but not yet the hire.
Targeted senior capacity inside your existing roadmap — joining your team's standups, sprints, and tooling. Right when you have the plan and need the hands.
Tell us what you're working on. We respond within one business day with a real perspective on shape, sequence, and effort.