Services
AI agent development & agentic platform consulting. Agents aren’t the hard part — your data is.
We design, build, and operate production agents on prepared data. Every engagement is engineering-led: diagnose before prescribing, build in sequenced phases, and measure agents by whether they did the job — not whether they sounded confident.
Data Readiness
Agents can only act on data they can reach and trust.
We audit what you have, unify what’s siloed, and process what’s raw — pipelines, warehousing, semantic modeling, and governance that turn scattered systems into a foundation agents can work on.
What that looks like
- Data estate audit and readiness assessment
- Pipeline and warehouse engineering
- Semantic layer and governance design
- Reporting and BI modernization
Agentic Platform Engineering
Not a chatbot bolted onto a database — a platform.
We design and build the agent layer on top of your prepared data: orchestration, tool interfaces, retrieval, evaluation, and the guardrails that let agents do real work inside your business.
What that looks like
- Platform architecture and build
- Agent orchestration and tool design
- Retrieval and context engineering
- Evaluation harnesses and guardrails
Integration & Operations
Shipped is the beginning, not the end.
We integrate the platform into daily workflows, automate the reporting it replaces, and run it with you — monitoring, iteration, and enablement so your team owns the system with confidence.
What that looks like
- Workflow integration and rollout
- Reporting automation
- Monitoring, evals, and iteration
- Team enablement and handover
How we engage
Assess. Build. Run.
Assess
A readiness assessment of your data estate: what exists, what’s siloed, what agents would need that isn’t there yet.
Build
Foundation first, then platform — sequenced phases with working software at each milestone, not a big-bang reveal.
Run
Integration into daily workflows, monitoring and evals in production, and enablement until your team owns it.
Questions we hear
Straight answers on agent development.
What does Finsight do for AI agent development?
We design, build, and operate production agents on prepared data. That means data readiness first, then agentic platform engineering, then integration into the workflows your team already runs.
What is agentic platform consulting?
It is engineering work across four layers: foundation data, semantic context, agent orchestration with tools and guardrails, and the interfaces people use. We assess readiness, build in sequenced phases, and hand the system to your team.
How is this different from buying a chatbot or copilot?
A chatbot answers questions. An agentic platform lets agents take scoped actions on reliable business data — with tools, evaluation, and human review where judgment matters. Without prepared data underneath, copilots stall at demos.
Do we need a full platform, or can you ship one agent?
We can ship a focused production agent when the data underneath is ready. When it isn’t, foundation work comes first — that is what made a Fortune 100 fintech invoice agent production-trustworthy after months of agent-first attempts had stalled.
How do engagements typically run?
Assess, build, run. A readiness assessment of your data estate, then sequenced foundation and platform phases with working software at each milestone, then monitoring, evals, and enablement until your team owns it.
How long does AI agent development take?
It depends on the state of your data. The readiness assessment scopes the gaps. In a documented accounts-payable engagement, one month of foundation work preceded a two-week agent workflow deployment — after seven months of agent-first attempts had not reached production trust.
We’re not a Fortune 500 company. Is this for us?
Yes. We bring Fortune 500 data engineering discipline to companies of all sizes. Smaller estates often move faster — fewer silos, fewer stakeholders, and the same platform principles apply.
Where should we start?
Start with a readiness assessment, then decide whether the next move is foundation work, a first production agent, or a fuller platform build. Talk to us and we answer in engineering terms, not slideware.
Keep reading
Architecture, proof, and field notes.
Start with the assessment.
One conversation, then an engineering answer about where your data stands — and what production agents become possible next.