Sparq takes Claude from a working pilot into the operational systems where margin is won or lost, embedding AI and data intelligence into your existing stack without disrupting existing systems. First production decision in 30 days, not 30 weeks.
THE REALITY
Claude will do something impressive in most environments inside a week. Surviving an audit, a volume spike, and the 4% of cases that break the happy path takes months. That gap is where the pilot budget goes, and it’s the part no team owns.
What we do
Sparq runs enterprise Claude implementation for companies that have already proven the model works and now need it running in production. We embed Claude into the workflows where cost, throughput, and decision speed are determined, then take the result live under real operational load.
Many of our engineers hold Claude certifications from Anthropic's certification program. We run Claude inside our own business every day across engineering, finance, sales, marketing, and people operations.
Built for the Claude surface
Claude is not one product, and an enterprise rollout is not one project. Sparq works across the surface where the decisions happen.
Agentic coding in your repositories under your rules. We set the Claude Code policy, build the Agent Skills and prompt library your engineers will use, wire the telemetry that shows adoption, and put review gates where a human has to sign.
MCP is an open standard for connecting Claude to the systems where your data already lives. We build and operate MCP servers against Salesforce, ServiceNow, Jira, GitHub, Workday, Slack, and internal services, with the access controls your security team requires.
Production agents, not prototypes. Architecture, evaluation harnesses, observability, non-human identity management, and the failure handling that decides whether an agent is allowed near a customer.
Tenant configuration, identity and SSO, data governance posture, admin runbooks, role-based training by function, and the adoption telemetry that tells you whether the seats you bought are doing anything.
Claude on Amazon Bedrock as an AWS Advanced Tier Services Partner. Claude reasoning over governed data in Snowflake Cortex as a Snowflake AI Data Cloud Elite Services Partner. Claude in GCP-native environments alongside existing Vertex AI investments.
Deterministic quality checks, real-time observability, evaluation suites tied to business acceptance criteria, and unit-economics monitoring so token cost is a line you manage instead of a surprise you discover.
Where to start
Get Claude live and governed
Claude is bought but not landed. We configure the tenant, wire identity and governance, stand up your first MCP connectors, and run role-based training so the seats convert into daily use.
Typical window: 4 to 12 weeks.
Re-engineer one revenue-critical workflow
Claude is live and nothing has changed operationally. We pick the workflow with the biggest number attached, rebuild it around Claude reasoning, stress-test it in The Shop under production load, and cut over.
Typical window: 10 to 18 weeks.
Stand up Claude-native systems
The workflow is not worth saving and the system needs to exist. Greenfield agentic architecture, evaluation and observability from the first commit, then launch and stabilization.
Typical window: 16 weeks and up.
By the numbers
days from near zero to Claude across the business
business functions running Claude in daily work
days from kickoff to first production decision
Proven in production
A global parcel delivery leader was planning a multi-billion-dollar network on spreadsheets and phone calls. Sparq built a system-wide network planning and simulation platform that cut simulation time from weeks to minutes, generating $220M in annual cost savings.
A global mobility leader was making sell-vs-hold decisions based on manual judgment across 100K vehicles per month. Sparq embedded an AI decisioning engine directly into inventory workflows, creating a $90M gross margin increase, 1.2M automated decisions annually, and ROI in less than one year.
Manual document review was capping loan origination throughput. Sparq embedded Verify.IQ into the existing workflow and dropped validation from hours to 8 seconds at $0.02 per document.
Before it touches your systems
The Shop is Sparq's internal proving ground. We take the highest-risk part of a Claude workflow and run it under real operational load before it goes anywhere near your environment. We map where it fails, what it costs when it fails, and what has to be true for it to hold.
If it fails under our constraints, it never ships to yours.
Common questions
The quick answers. If your situation is more specific than this, that is what the conversation is for.
find your first move
Tell us the workflow that keeps surfacing in leadership meetings and disappearing from the roadmap. We’ll tell you whether Claude belongs in it and what it takes to get it into production.