The DoJob AI Platform
Every strategic initiative — decomposed, owned, monitored, and real-time visible to leadership.
Request a DemoFrom strategy document to live execution map — four stages
DoJob AI is not a project management tool. It is not an OKR platform. It is the infrastructure layer that sits between your strategic plan and the tools where work actually happens.
Strategy Ingestion
Upload your strategy document, board deck, or OKR framework. The language model reads the content and extracts the strategic intents that require owned execution infrastructure — the objectives that die in slides without a translation layer.
Technically, this is a structured extraction pass: the model identifies strategic objectives, the key results or success criteria attached to each, the named teams or functions responsible for delivery, and the explicit or implied timelines. It distinguishes between aspirational statements ("we will be the market leader in DACH") and executable commitments ("we will close 18 enterprise contracts in DACH by Q3"). Only the latter generate workstreams.
What you see in the platform: a list of candidate objectives, each with a confidence signal indicating whether the ingested document contains enough specificity to build a trackable workstream — or whether you need to add a milestone, an owner, or a delivery date before execution can begin. You review and confirm; the platform does not proceed to decomposition without your sign-off on each objective.
A concrete scenario: a 60-slide annual strategy deck for a 400-person industrial services company typically contains eight to twelve actionable strategic objectives once aspirational statements are filtered out. Ingestion takes under five minutes. The review conversation takes twenty. The alternative — a VP of Strategy manually translating that deck into a workstream charter — takes two to three weeks and often still misses the dependencies between initiatives.
Accepts PDFs, plain text, or direct import from common planning tools. No reformatting required.
Workstream Decomposition
The platform builds a workstream tree: each strategic objective broken into initiatives, each initiative assigned a suggested owner by role, and milestone cadences mapped to your planning calendar.
The decomposition model works in two passes. The first pass identifies the natural breakdown of each objective into discrete initiatives — the units of work that can be owned, tracked, and reported on independently. The second pass maps the dependency chain: which initiatives must complete before others can begin, which require shared resources across departments, and which have hard external deadlines that constrain the overall timeline. This dependency graph is the layer that most manual planning processes omit, and it is precisely where execution surprises originate.
What leadership sees is a hierarchical tree: strategic objective at the root, initiatives as branches, with each node showing a suggested owner (by title, not by name — ownership assignment is confirmed by you in a review step), a milestone cadence, and an estimated delivery window. You can modify the structure before publishing: merge initiatives, reassign ownership, adjust timelines, or add dependencies the platform did not infer from the source document.
Consider a financial services firm running a digital channel expansion initiative. The strategy document commits to "launching a self-service portal for SME clients by end of Q3." Decomposition identifies eight discrete initiatives: product requirements, design and UX, backend API development, compliance review, user acceptance testing, marketing launch preparation, sales team enablement, and post-launch monitoring. Each is assigned to the appropriate function. The dependency chain shows that compliance review gates UAT, which gates launch — meaning any slip in the compliance track directly compresses the launch window. That dependency was implicit in the original strategy document. It is now explicit in the execution map, visible to everyone from the first day of the quarter.
The OKR cascade from board-level intent to department-level execution commitment happens in hours, not the weeks it currently takes your strategy team to do manually.
Drift Monitoring
Continuous monitoring compares execution pace against each workstream's planned trajectory. When divergence exceeds the configured threshold, the alert goes directly to the workstream owner and to the relevant leadership view.
The monitoring engine tracks three signal types simultaneously. Milestone velocity measures whether planned milestones are being completed at the cadence the plan assumed — a workstream that has completed two of six Q1 milestones by week ten is flagging a pace problem, even if no milestone is formally overdue yet. Owner engagement tracks whether the people accountable for each initiative are actively maintaining it in the platform — silence from an owner is itself a drift signal, because it removes the early-warning mechanism. Dependency health monitors the upstream inputs that each initiative relies on: if the compliance review that gates your portal launch has not progressed in three weeks, the portal launch is drifting even before any of its own milestones have slipped.
What you see in the leadership view is an exception-based feed — not a comprehensive status report that takes thirty minutes to read, but a short list of initiatives that have crossed a drift threshold in the past seven to fourteen days. Each entry shows what type of signal triggered the alert, which owner received the notification, and what the projected impact on delivery looks like if current pace continues. The COO can assess the full picture in ten minutes and know exactly which two conversations to have before the week is out.
A practical example: a 550-person professional services firm running a talent development initiative set a drift threshold of ten percent milestone velocity deviation over a rolling two-week window. In week seven of the quarter, the platform flagged that the initiative's learning content development milestone had not advanced in eleven days, and that the external vendor dependency for certification materials had gone quiet. The VP of HR received the alert and unblocked the vendor dependency the same day. At the subsequent quarterly review, the initiative was on track — and the COO had seen the alert two weeks before any formal check-in would have surfaced it.
This is early-warning infrastructure, not a lagging report. The signal arrives with 4–6 weeks of runway to course-correct — not at the QBR when the damage is done.
Executive Dashboard
The C-suite view aggregates all workstream statuses, drift alerts, and initiative health into a single strategic overview — updated continuously, not compiled the week before the board meeting.
The dashboard is structured around the portfolio, not the calendar. Rather than showing you a list of initiatives ordered by last-updated date, it groups them by strategic objective and surfaces the health of each objective as a composite of its underlying workstreams. An objective with eight workstreams, three of which are drifting, shows a different health signal than one with eight workstreams all running ahead of plan — and that difference is visible at a glance without requiring you to drill into individual initiative pages.
For each initiative, the dashboard surface includes: current milestone completion rate against plan, the drift alert count over the past 30 days, the named accountable owner and their last confirmed engagement date, and a forward projection showing expected delivery date based on current velocity. The projection is not a manual estimate from the initiative owner — it is a calculated output based on the milestone cadence data the platform is continuously tracking. It is also honest about uncertainty: if the current pace puts a delivery date at risk, that risk is displayed in the leadership view whether or not the initiative owner has escalated it.
The practical problem this solves: a COO overseeing twelve strategic initiatives was spending eight to ten hours per week across status meetings and email threads to maintain the situational awareness needed to walk into board presentations confidently. With the executive dashboard, that weekly overhead compresses to a twenty-minute review of the platform's exception feed. The board meeting itself changes character — from a discovery session where leadership learns for the first time what is behind and what is at risk, to a confirmation and direction-setting session where the data has already been visible for weeks and the conversation can focus on forward decisions rather than backward explanations.
Your next quarterly business review becomes a 30-minute confirmation of data leadership already knows. Not a three-day status-chasing exercise followed by a discovery session in the boardroom.
DoJob AI does not replace your existing tools.
It reads signals from them. Your teams keep Jira, Slack, and their planning tools. DoJob AI sits one layer above — pulling execution status from where work happens and surfacing it to the leadership view in real time.
See DoJob AI in action.
Book a 30-minute session with Rod Nunes and see a live platform walkthrough tailored to your strategy challenge.
Request a Demo