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De-Risked Enterprise AI Value

A named outcome. A team accountable for it.

A dedicated forward-deployed engineering team runs the full IntakeOS platform inside your organization against one measured business result - not a license for your team to run yourself. $500K-$2M+, with part of the fee tied to the outcome delivered.

Executive team reviewing a named business outcome and its delivery plan
What it is

A dedicated team, not a login.

Every Platform tier is a license your team runs. IntakeOS Outcomes is a different motion: our own forward-deployed engineering team runs discovery-to-delivery inside your organization and is paid, in part, on the result - built for organizations that don't want to carry that risk themselves.

Forward-deployed engineering team working inside a client organization
Risk avoided, value realized

The real cost isn't the platform.

It's the pilot that never ships, the spend no one can account for, the agent no one governs. Six risks IntakeOS Outcomes is built to absorb.

RiskPilot purgatory - AI proofs of concept that never reach production
Value realizedEvery qualified opportunity ships as a validated, monitored agent inside your existing stack, typically within a day of qualification.
RiskUnaccountable spend - paying full price whether or not the initiative moves a number
Value realizedA base engagement fee plus an outcome-based component ties part of what you pay to the measured business result, not a subscription.
RiskShadow AI and ungoverned agent sprawl across teams
Value realizedEvery agent traces back to a scored, documented opportunity, deployed and tracked through one governed system of record.
RiskCompliance and audit exposure from undocumented AI decisions
Value realizedDeterministic scoring and an immutable audit log make every decision defensible to your board, auditors, and regulators.
RiskThe 'last mile' problem - automation launches, then adoption quietly stalls
Value realizedAgent performance monitoring tracks straight-through rate, exceptions, and ROI realization against the original projection, so drift is visible immediately, not discovered a year later.
RiskVendor lock-in to a single AI provider or automation platform
Value realizedOpportunities export into the tools you already run - UiPath, Copilot Studio, Claude, GPT, Gemini, and 20+ more - so the outcome doesn't create a second migration project.
Why it works

Every feature, working for your outcome.

Not a services team layered on a pitch - our platform, operated for you, capability by capability.

VARA, our AI business analyst, runs discovery inside your organization

Surfaces the tribal knowledge, workarounds, and shadow processes that system logs and past consultants missed

Your FDE team turns weeks of stakeholder workshops into structured conversations across every business unit in scope, so the outcome is built on what actually happens - not what the org chart says happens.

8-dimensional deterministic scoring evaluates every opportunity the same way, every time

A defensible, auditable rationale for every dollar of the outcome, not a consultant's gut call

When your board asks why this initiative and not that one, the answer is a documented score - not a slide.

The ROI Engine models and documents the business case behind every opportunity as it's captured

The financial case for the outcome exists before a single hour of delivery work starts

Finance sees the same ROI model the FDE team is paid against, so no one is reconciling two sets of numbers at the end.

PDD, SDD L1-L3, and executive ROI reports generate automatically from every validated opportunity

Your architects, auditors, and delivery teams get build-ready specs, not a narrative summary

The dedicated team hands your engineers a spec they can build from on day one, instead of a readout they have to re-derive.

A live, ranked portfolio tracks every opportunity's ROI, cost of delay, and status

Leadership sees the entire value at stake and how the outcome is tracking against it, not one point-in-time deliverable

As new opportunities surface mid-engagement, they re-rank into the same governed backlog automatically, so scope changes don't erode accountability.

Qualified opportunities pass to agents seamlessly through Agent Bridge - process definition, business rules, exception paths, and SLA parameters export directly into UiPath, Copilot Studio, Claude, GPT, Gemini, and 20+ more

The outcome lands inside your existing stack, so there's no separate migration project and no new vendor lock-in

Your FDE team deploys automation where your people already work, so adoption doesn't depend on a second rollout later.

Every agent handoff ships with a pre-built validation test harness generated from the intake itself

Automation is proven against real cases before it ever touches your process, not debugged live in production

Your team validates behavior end-to-end and signs off before promotion - so go-live means proven, not hoped for.

Agent performance monitoring tracks straight-through rate, exception volume, and ROI realization against the original projection

You see whether the value you were sold is the value you're getting - continuously, not just at launch

If realized ROI drifts from the model, the FDE team sees it the same week you would - and is accountable for closing the gap, not just reporting it.

Every action - every score, export, and decision - is captured in a comprehensive, immutable audit log

The outcome survives a board review, an audit, or a regulator's questions, because every step is documented as it happens

Compliance and audit teams get the trail they need without asking the FDE team to reconstruct it after the fact.

Deploy in your own cloud for full data sovereignty, or run fully managed - your choice

Sensitive process and financial data never has to leave environments your security team already trusts

CISOs sign off before day one, because the platform meets them where their controls already are.

How it's structured

Four parts, one accountable outcome.

Every IntakeOS Outcomes engagement is scoped individually, but each one follows the same structure.

Named outcome, agreed upfront

Before any work starts, we agree on the specific business outcome to be delivered - a cost reduction, a throughput gain, a compliance posture - and how it will be measured.

Dedicated FDE team embedded in your organization

A forward-deployed engineering team runs the full discovery-to-delivery lifecycle inside your organization: interviews, scoring, design, build, and rollout, using the IntakeOS platform as its own operating system.

Base engagement fee plus an outcome-based component

Total program value runs from $500K to $2M or more, split between a base engagement fee that covers the dedicated team and a variable component tied to the measured outcome actually delivered.

Governed, auditable delivery

Every opportunity the team pursues still runs through IntakeOS's 8-dimensional deterministic scoring and full documentation trail, so results are defensible to your board, auditors, and regulators - not just claimed.

$500K-$2M+

Total engagement value, split between a base engagement fee and an outcome-based component - scoped to the outcome, not a seat count or a fixed feature list.

Who this is built for.

Not self-serve. Scoped on a call, for organizations that fit this profile.

  • A named business outcome the organization is accountable for delivering, not just a tool to roll out
  • Enough scale and complexity that a dedicated team, not a shared CSM, is the right delivery model
  • A preference for aligning what you pay to what gets delivered, above and beyond a platform license
  • Executive sponsorship able to commission a $500K-$2M+ program and sit with its outcome
Two different motions

Platform license, or managed outcome.

Platform tiers

Basic through Custom - an annual license priced on agentic discovery capacity. Your team runs IntakeOS itself, at any scale from a solo look to a global, multi-entity rollout.

See Platform pricing

IntakeOS Outcomes

A Problems-as-a-Service engagement, $500K-$2M+. A dedicated FDE team runs discovery-to-delivery for you, against a named outcome - a base fee plus an outcome-based component, not a per-seat license.

Talk to us about an outcome

Most Outcomes engagements start from an existing conversation about our Strategic or Custom Platform tier. If you're not sure which fits, a scoping call will tell you.

FAQ

Outcomes questions, answered.

Straight answers about how Problems-as-a-Service works.

What is IntakeOS Outcomes?

IntakeOS Outcomes is a Problems-as-a-Service engagement: instead of licensing the IntakeOS platform and running discovery with your own team, a dedicated forward-deployed engineering (FDE) team runs it for you, against a specific, measured business outcome.

How does this actually ensure our enterprise AI initiative succeeds?

Every capability that makes the IntakeOS platform work - VARA's AI-led discovery, 8-dimensional deterministic scoring, the ROI Engine, auto-generated PDD/SDD/ROI documentation, the ranked portfolio, and agent export into your existing tools - runs under the FDE team's ownership, not yours. Because part of the fee is tied to the outcome delivered, the team is accountable for turning that platform output into a measured result, not just a report.

How is this priced, and how is it different from the Platform tiers?

Platform tiers (Basic through Custom, on /pricing) are an annual license priced on agentic discovery capacity. Outcomes engagements are a separate motion: a base engagement fee plus an outcome-based component, totaling $500K-$2M+ depending on scope, delivered by a dedicated team rather than self-serve.

Do we still get the IntakeOS platform itself?

Yes. The FDE team runs the engagement on IntakeOS - the same 8-dimensional deterministic scoring, opportunity system of record, and document generation used in every platform tier - so the outcome delivered is auditable, not a black box.

What counts as an eligible outcome?

Outcomes are agreed and defined upfront on a scoping call: typically a measurable cost reduction, throughput or cycle-time gain, or compliance milestone tied to a portfolio of qualified automation and AI opportunities.

Who is this for?

Conglomerates, private-equity portfolios, and government agencies that need a named outcome delivered by a dedicated team, rather than a platform for their own team to run - typically organizations already evaluating our Strategic or Custom Platform tier.

How do we get started?

Book a call. Because scope and the outcome definition are unique to every engagement, IntakeOS Outcomes is scoped individually rather than sold self-serve.

Ready to make AI succeed - not just launch?

Every IntakeOS Outcomes engagement starts with a scoping call to agree the outcome, its measurement, and the dedicated team accountable for delivering it.

See the Platform tiers