The arc from prepared to proven.
Companies do not fail at AI because of the technology. They fail because they were not ready. We measure where you stand, get your people and data ready, and put AI to work where it pays.
A measured read on where you stand and what to do first. Free, in five minutes.
Take the readiness scan →From a bounded pilot to a governed fleet, live in your operations with measured results.
See the engagements →Your people, process, and governance made ready, so the organization embraces AI.
Start with literacy →Before you spend on a build, you get a ranked list of where AI will make or save you money. Price and timeline are fixed up front.
Most AI projects fail because the company was not ready. We fix that first: clear owners, working rules, clean data, and people trained at every level.
We run our own company on the same AI agents we build for clients. We do not recommend anything we have not run ourselves.
One baseline, three dimensions
Readiness is measured where AI programs actually fail: the operations, the data, and the governance. Each dimension is scored on a named five-level index, and the three scores together form the baseline a board can act on.
Strategy, operations, data, governance, and people, each scored with evidence. You leave with a plan you can act on that week.
The people and process work that makes AI stick. We close the gaps before anything goes live.
Fixed fee and defined deliverables. You see exactly what you get before you commit.
We build agents for your highest-value workflows, run them live, and hand your team the keys.
Three readiness baselines, agentic, data, and trust and governance, scored on named five-level indices with a board-ready readout and a register of the constraints that would stall a launch.
The opportunity portfolio, mapped and ranked by P&L impact and feasibility. The AI Opportunity Diagnostic ends in a decision, not a menu.
Close the gaps that gate the build: the operating model staffed, governance stood up and in force, data made fit for the workflow, and literacy built at board, practitioner, and workforce altitudes so the workforce operates the systems as designed rather than working around them.
The first agentic operations built and run live against acceptance criteria agreed in advance. Modeled value becomes measured value.
A standing operating cadence: monitor, tune, expand the portfolio, and report results in the language of the P&L.
In regulated, decision-heavy industries a system you cannot explain is a system you cannot deploy, and an organization that is not prepared cannot hold what it builds. We measure readiness, close the gaps, govern the risk by design, and then own the outcome in your operations. That is the whole job.TRUEARC FOUNDING THESIS
Named readiness scores with evidence, a board-ready readout, and a sequenced action plan you can act on the week you receive it. Fees credit fully toward the AI Opportunity Diagnostic within 90 days.
Begin the conversationTurnkey outcomes on a fixed clock: readiness-to-roadmap, literacy sprint, governance starter, operating model blueprint, pilot-in-a-box, department fleet starter.
Begin the conversationSee exactly where AI moves your P&L, ranked by impact and feasibility, then get agentic operations built and deployed phase by phase, each against acceptance criteria you agreed in advance.
Begin the conversationYour deployed operations run, tuned, and expanded after go-live, with a named senior advisor as your fractional Chief AI Officer at the governance level.
Begin the conversationThe models work and the budgets have been committed, yet the board sees motion and no result. AI arrives into an organization that was never prepared to hold it, and it slides off. Preparation is the work most firms skip: literacy built at board, practitioner, and workforce altitudes so people can operate and oversee the systems, an operating model that actually owns them, governance in force rather than on paper, and change absorbed by the organization rather than announced to it. We prepare across all of it, generative, agentic, and traditional automation as capabilities, and the people, process, governance, and literacy that determine whether any of it lands.
A kit is a turnkey outcome in the box, not a project you have to co-manage. Fixed fee, fixed timeline, defined deliverables, with the edges visible before you commit. The agentic fleet runs the research, analysis, drafting, and much of the build under principal direction and review, which is why a kit lands in a fraction of the calendar time a traditionally staffed engagement would take. Each kit ends with a board-ready result and a stated next step, and readiness-flavored kits credit forward toward the diagnostic.
What is an Agentic Readiness Level (ARL)?
The Agentic Readiness Level is TrueArc's five-level maturity index, ARL 1 (Ad Hoc) through ARL 5 (Autonomous), that measures where an organization stands on its readiness to deploy and operate agentic AI workflows in day-to-day operations. It scores six operational dimensions so leaders know exactly where they stand before committing to a transformation program.
How do I know if my organization is ready to deploy AI agents?
Readiness requires three things to be true at once: the workflows are defined and automatable (agentic readiness), the underlying data is accessible, governed, and high quality (data readiness), and the governance and compliance posture is defensible to a board and regulator (trust and governance readiness). A gap in any one dimension will cause a deployment to stall or fail, which is why we assess all three before any build.
Do you offer anything free?
Two things. The readiness scan estimates your levels across five dimensions in five minutes at truearc.ai/scan. The AI literacy program raises your organization's AI literacy in 30 to 90 days, free, at truearc.ai/literacy. Neither requires a sales conversation.
What is an accelerator kit?
An accelerator kit is a turnkey, fixed fee, fixed timeline engagement scoped to one decision or one bounded build, so you leave with a defensible result and a stated next step rather than a deliverable to interpret. Examples include a readiness-to-roadmap in 30 days, an executive literacy sprint in two weeks, a governance starter in three weeks, an operating model blueprint in three weeks, a pilot-in-a-box in 30 days, and a department fleet starter in six weeks. Kits are delivered mostly by our agentic fleet under principal oversight, which is why they land in a fraction of the usual calendar time.
What does a TrueArc AI readiness assessment include?
Each assessment is fixed scope and fixed fee, delivered in two to four weeks. It produces a named maturity score on a defined five-level index, a board-ready findings readout delivered as a live executive session plus a summary, and a sequenced action plan. The three assessments are Agentic Readiness Level, Data Readiness, and AI Trust and Governance Level, purchased individually or as a coordinated bundle with one unified executive readout.
What is an AI Opportunity Diagnostic?
A bounded, fixed-scope executive engagement, typically three to six weeks, that identifies the highest-value AI opportunities in your operations, quantifies the economics in your P&L language, and produces a board-presentable roadmap ranked by impact and feasibility. It follows the readiness assessments and precedes any transformation program. The assessment fees credit toward it, and stopping after the diagnostic is a valid, inexpensive outcome.
How is TrueArc different from a traditional consulting firm?
Traditional firms hand you a strategy and leave the build to your team or to a system integrator who was not in the room. We prepare the organization and then run what we prepared, one accountable arc from readiness through results, delivered by an agentic fleet at a pace staffed firms cannot match. We also run our own operations on the same agent architecture we deploy for clients, so the architecture we recommend is one we have already debugged.
How does TrueArc handle risk and governance in regulated industries?
Trust, governance, and data control are assessed at the front door through the AI Trust and Governance Level and Data Readiness assessments, and then designed into every system we build. In regulated, decision-heavy industries a system you cannot explain is a system you cannot deploy, so we establish what can be governed, logged, and audited before anything is built.
Start with a defensible decision, not a blank-cheque program
One conversation gives you the shape of an engagement: where you stand, what it would cost, and what you decide at each step. You hear back directly, with no sales-team handoffs.