Signals for leaders in mid-market and growing organisations, not only Fortune 500 board packs.
31 cited signals Real reports. Monday actions.
Who we serve
Momentup Consulting works with mid-market and growing SMEs, and with delivery, Atlassian and ways-of-working teams inside larger organisations, who have real operating pain but feel priced out of big-firm theatre.
Our practitioners scope a clear first deliverable so teams can see progress without a six-figure transformation programme.
Mid-market lens (50 to 500 people): the enterprise headline numbers are context. The operating lessons transfer directly: write stop rules before scaling a pilot, name one owner per AI decision, staff review before buying more generation, and measure outcomes not tool usage. Memory-driven hardware inflation also hits mid-market device and server budgets with less slack to absorb it.
31 signals shown
AIAtlassian (Teamwork Lab), 2026
$161B/year
Estimated cost of the fragmentation tax to the Fortune 500
Atlassian's State of Teams 2026 finds that scattered work and coordination drag carry a real cost, and that AI speed gains for individuals are not yet turning into clear organisation-wide returns for teams.
Mid-market bridge: Treat the dollar total as enterprise context. The operating warning is the same at mid-market: AI speed without shared context, goals and review owners multiplies handoff chaos.
89% / 6%
Executives say AI increases speed, but only 6% are sure they have clear organisation-wide AI ROIAtlassian State of Teams 2026 blog
24%
Leaders who focus on using AI to improve teamwork, while around 80% of work is team-levelAtlassian State of Teams 2026 blog
87%
Knowledge workers say that with everyone in execution mode they lack time and capacity to coordinateAtlassian State of Teams 2026 blog
85% / 29%
Knowledge workers use AI at work, but only 29% have embedded it in their flows of workAtlassian State of Teams 2026 blog
Outcome we help: Stop coordination chaos and restore shared board flow.
Monday: Map handoffs on one key workflow and count how many tools or AI outputs sit outside the shared board; pick one handoff to bring into the team flow this week.
Teams that have cracked the AI ROI code with ways of working grounded in context, workflows and culture
Atlassian's State of Teams 2026 finds that only a minority of teams turn AI into shared performance. The difference is coordination through context, workflows and culture, not more individual tooling.
5.6x
More likely that these top teams say AI helps them better plan and prioritise workAtlassian State of Teams 2026 blog
9.4x
More likely that these top teams say AI increases collaborationAtlassian State of Teams 2026 blog
2.3x
More likely that these top teams fully trust AI to surface and contextualise relevant informationAtlassian State of Teams 2026 blog
55%
Executives who say AI is widening performance and opportunity gaps between teamsAtlassian State of Teams 2026 blog
Outcome we help: Stop individual-AI sprawl; make AI a team capability.
Monday: Name the shared context one critical workflow needs (decisions, owners, constraints) and place it where the team already works; track one team outcome (cycle time, rework or priority conflicts) beside any productivity claim.
AIMcKinsey & Company (People & Organizational Performance), 2026
86%
Leaders who feel their organisations are not prepared to adopt AI in day-to-day operations
McKinsey's State of Organizations 2026 finds widespread AI deployment but weak readiness for day-to-day use. Leaders face a double transformation: technology and how the organisation actually works.
1 in 6
Organisations with no clear C-level owner for AI adoptionMcKinsey State of Organizations 2026 report
88%
Organisations deploying AI in at least parts of the organisation, with many still seeing limited bottom-line impactMcKinsey State of Organizations 2026 report
46% / 44% / 39%
Top barriers: concerns about AI itself; regulatory, ethical or legal concerns; organisational challenges including change managementMcKinsey State of Organizations 2026 survey (also summarised in McKinsey chart Building the AI-powered organization)
10,000+
Senior executives surveyed across 15 countries and 16 industries for the 2026 researchMcKinsey State of Organizations 2026 public page
Outcome we help: Stop pilot theatre; name one accountable AI operating owner.
Monday: Confirm a single accountable executive owner for AI in operations, in writing; replace "number of pilots" with one operational outcome the board can see this month.
Leaders who say accelerating orchestration of people, skills and resources is extremely or very important, versus those making great progress
Deloitte's 2026 Global Human Capital Trends finds leaders rate dynamic orchestration of people, skills and resources as critical, yet almost none report strong progress. Speed now depends on how work is assembled in real time.
81-point gap
Largest importance-versus-action gap in the 2026 survey, between orchestration importance and progressDeloitte Orchestrating for agility, 2026 Global Human Capital Trends
67%
Leaders who say their primary competitive advantage over the next three years will come from being fast and nimbleDeloitte Orchestrating for agility, 2026 Global Human Capital Trends
28% / 59%
Organisations that currently use dynamic, problem-based teams, versus those that say doing so will matter in the next three yearsDeloitte Orchestrating for agility, 2026 Global Human Capital Trends
9,000+
Business and HR leaders surveyed across 89 countries for the 2026 researchDeloitte Orchestrating for agility methodology note
Outcome we help: Stop org-chart teams that cannot reallocate people to outcomes.
Monday: Form one time-boxed cross-functional team around a single outcome (not the org chart) and list what blocks reallocation of people or skills this week.
More likely to produce high-quality work when teams plan and track together
Teams that plan and track together are more likely to report quality, deadlines and meaningful focus. The multipliers describe an association, not a guaranteed uplift.
4.1x
More likely to meet deadlinesState of Teams 2025 PDF, page 18: Plan and track work, together
2.4x
More likely to focus on work that mattersState of Teams 2025 PDF, page 18: Plan and track work, together
Outcome we help: Bring shared planning into the tools teams already use.
Monday: Map a one-page brief to live tasks, with a shared outcome, owners and status.
The State of Teams 2025 Atlassian, 2025 State of Teams 2025 PDF, page 18: Plan and track work, together
AI amplifies the delivery system around it. The 2025 research links adoption to both higher throughput and higher instability, making platforms and safety nets part of the investment decision.
>80%
Respondents reporting productivity improvements from AIDORA 2025 announcement, productivity findings
30%
Respondents with little or no trust in AI-generated codeDORA 2025 announcement, trust findings
90%
Organisations with at least one internal platformDORA 2025 announcement, platform engineering findings
Outcome we help: Improve the delivery system around AI, not just individual coding speed.
Monday: Fund one platform or safety-net fix before buying more coding-agent seats.
Respondents reporting regular AI use in at least one business function
Regular AI use is widespread, but scaling and enterprise earnings impact remain uneven. Process redesign is a stronger next step than an isolated pilot portfolio.
Nearly two-thirds
Respondents whose organisations have not yet begun scaling AI across the enterpriseState of AI 2025, AI use and scaling findings
39%
Respondents reporting any enterprise-level EBIT impact from AIState of AI 2025, enterprise-level financial impact findings
Outcome we help: Turn disconnected pilots into a measurable end-to-end workflow.
Monday: Kill or merge one orphan pilot; fund one end-to-end process redesign.
The state of AI in 2025 McKinsey & Company, 2025 State of AI 2025, AI use and scaling findings
AI spend Forrester predicts enterprises will defer into 2027
Forrester predicts that enterprises will delay a quarter of planned AI spend into 2027. This is a forecast, not a recorded cut; the question is whether each initiative has a credible financial bridge.
15%
AI decision-makers reporting an EBITDA lift from AIPredictions 2026 blog, financial value findings
<1/3
AI decision-makers able to tie AI value to profit and lossPredictions 2026 blog, financial value findings
Outcome we help: Make the financial case visible before extending low-clarity spend.
Monday: Rank AI initiatives by their P&L bridge; pause the bottom quartile.
CFOs whose AI investments lean towards productivity versus decision quality
Finance AI investment leans towards productivity rather than decision quality. Gartner finds that functions investing in Upend initiatives are more than twice as likely to report high realised value, not twice the value itself.
>2x
Likelihood of reporting high realised value among finance functions investing in Upend initiativesGartner release reproduced by CPA Practice Advisor, 22 July 2026, paragraph beginning Notably, the survey found
Outcome we help: Make decision quality a named investment outcome.
Monday: Relabel the next three finance AI proposals Productivity, Decision quality or Growth.
Teams primarily using traditional AI reporting high productivity gains versus teams using GenAI
High productivity gains are not exclusive to generative AI. Workflow redesign matters because faster output can simply move the queue to the next human step.
Outcome we help: Redesign the downstream work so faster output becomes useful delivery.
Monday: Remove one bottleneck after model output, then review the whole workflow rather than the generation step.
Central government technology estates estimated to be legacy
The UK review highlights legacy exposure, services without a digital pathway and higher delivery risk in technology programmes. Remediation and reliability need a visible place beside new programmes.
47%
Central government services without a digital pathwayState of digital government review, Services: key facts, footnote 11
60%
Greater likelihood of technology programmes being rated Red (successful delivery highly at risk) than non-tech projectsState of digital government review, Services: key facts, footnote 12; Digital delivery and AI
Outcome we help: Make legacy exposure and the cost of run visible before adding new programmes.
Monday: Mark legacy versus modern on one critical service; escalate the unfunded reliability risk.
State of digital government review GOV.UK, 2025 State of digital government review, Technology: The current technology base is high-risk
Platforms are common, but quality matters. DORA connects high-quality internal platforms to the ability to unlock AI value; another platform label alone does not unblock flow.
Outcome we help: Remove one platform constraint where product work currently waits.
Monday: Close the biggest self-service platform gap for one product team.
Productivity of small and midsize businesses compared with large companies
McKinsey defines midcaps as companies with $200 million to $2 billion in revenue. Its economic-weight figures describe that population; the productivity comparison covers small and midsize businesses more broadly. Broad workforce involvement is associated with stronger transformation outcomes, not a guaranteed uplift.
50,000+
Midcap companies worldwide, defined as $200 million to $2 billion in revenueOpening paragraph: midcap definition and population
More than 40%
Share of the global workforce represented by midcapsOpening economic context: workforce contribution
About one-third
Midcap share of GDP in most economiesOpening economic context: GDP contribution
4.5x
Likelihood of successful transformation programmes when midcaps involve a broader cross-section of the workforceWorkforce involvement discussion: broader cross-section of employees
Outcome we help: Stop mid-market transformations that live only in decks. Design decision rights, ownership and a first deliverable sized for your team, not a big-firm army.
Monday: Pick one live change in ways of working, Atlassian system of work or portfolio priorities. Name five people outside the leadership team who must own a piece of it. Write one outcome metric each by Friday.
Respondents in small, medium and large companies who say enterprise Agile works very or somewhat well
Digital.ai’s 17th State of Agile reports different satisfaction levels by organisation size. This is the report’s small, medium and large split, not a measurement of the 50-500 person audience specifically. The 2023 survey covered 788 software development professionals; the report was released in January 2024.
17% / 30% / 29%
Respondents in small, medium and large companies who say enterprise Agile is not working well17th State of Agile PDF, page 10 (printed page 9), Agile in Use: satisfaction by company size
Outcome we help: Stop framework theatre that only large firms can staff. Fit flow and collaboration practices to the organisation you actually have.
Monday: List the enterprise ceremonies for one value stream. Cut or merge anything with no named owner and no decision in the last four weeks. Keep one flow measure, WIP or cycle time, visible by Friday.
17th State of Agile Report Digital.ai, 2024 17th State of Agile PDF, page 10 (printed page 9), Agile in Use: satisfaction by company size
Decisions / AIDepartment for Science, Innovation and Technology (DSIT), 2025
MixedInvest · Spend/Cut
59%
UK businesses saying it is hard to get impartial advice on the appropriate application of new technologies
DSIT’s survey of 4,595 UK businesses finds a gap in impartial advice and widespread reliance on non-financial external support. Adoption rises with business size. These are survey findings, not evidence that any particular consultancy or tool improves adoption.
85%
Technology adoption journeys requiring non-financial external supportExecutive summary, section 1.3 Key findings on innovation adoption: Source and support, Non-financial support
71% / 63% / 48%
Medium, small and micro businesses already adopting at least one surveyed technologyExecutive summary, section 1.3 Key findings on innovation adoption: Business size
56%
Businesses overall already adopting at least one surveyed technologyExecutive summary, section 1.3 Key findings on innovation adoption: opening adoption rate
Outcome we help: Stop tool-first shopping without an operating design. Give mid-market teams impartial practitioner advice scoped to one first deliverable.
Monday: List the last three tech or process buys. Mark each Vendor-led, Internal-only or Impartial advisor. For one stuck buy, write the single operating outcome that would prove it worked before Friday.
Typical full ERP or IT consolidation implementation costs as a share of annual revenues
McKinsey describes full ERP or IT consolidation costs for midsize industrials with less than $2 billion in revenue. Cost and ROI timelines are source estimates, not a Momentup quote or delivery promise. The article points to selective data layers, reporting and automation on existing infrastructure as an alternative.
3-5 years
Typical ROI timeline for full ERP or IT consolidationArticle: scrappy IT discussion, full ERP or IT consolidation
Outcome we help: Stop oversized consolidation programmes. Pick the smallest system-of-work and delivery change that moves a named outcome.
Monday: Pick one painful process in reporting, handoffs or customer visibility. Write whether it needs a full platform rewrite or a scoped point fix with a clear first deliverable. Cap new platform spend until that choice is written and owned.
Flow / DeliveryNew this weekLeadDev with O'Reilly, 21 Oct 2026
Mixedfaster generation; queue moves downstream
52%
52% say AI has moved the biggest delivery bottleneck to code review and validation; only 7% say it is still writing code. Only 31% measure the impact of AI developer tools (up from 21% in 2025).
What the source says
384 engineering professionals. 22% say the bottleneck moved to product specification and requirements. 57% say choosing which metrics to use is a challenge; 68% find aligning priorities across teams a challenge. Cycle time tracking up to 42% (from 34%) and lead time 41% (from 29%).
Invest review capacity and quality gates · Cut generation that outruns review
Monday: On one team board, add a visible "In review" column and record how long items sit there this week. Cap new AI-generated starts at the number of reviews finished the week before.
Engineering Team Performance Report 2026 LeadDev with O'Reilly, 21 Oct 2026 · With O'Reilly; PDF dated 21 Oct 2026 Engineering Team Performance Report 2026 (21 Oct 2026), cited findings
Delivery / AINew this weekGartner newsroom, 21 Oct 2026
Mixedcheques written; affordability pressure
$7.35T
Worldwide IT spend forecast at $7.35T in 2027 (+15%), data-centre systems $1.366T (+55.5%); memory prices have more than doubled in 12 months.
What the source says
2026 revised to $6.391T (+14.5%). Software $1.679T (+14.6%), IaaS $367B (+25.7%), devices $916B (+8.1%). "Memflation" expected to persist through 2027 and suppress end-user demand. Fresher edition of the Wave 2 card /pulse/gartner-it-spend-ai-infra-2026 (27 Jul 2026 forecast); recommend replacing, not stacking.
Spend AI infrastructure and memflation · Scale AI-ready platforms only where release quality holds
Monday: Re-price next year's device and server refresh at current memory costs. Delay any refresh that is not tied to a named delivery or reliability constraint.
Around 800,000 digital and technology roles projected to need filling 2025 to 2035; ambition of 200,000 entry-level jobs, including apprenticeships.
What the source says
Four-part plan; brings TechFirst, work experience, T Level placements, apprenticeships and entry-level jobs into a single Skills Deal for employers. 800,000 figure derived from the 2026 Skills Needs Assessment for the Digital and Technologies sector. Aims to reach one million young people with AI and tech learning through TechFirst by 2028.
Invest entry-level tech talent pipeline
Monday: Name one delivery role you keep backfilling with senior contractors. Write what an apprentice or entry-level hire could own in it within 90 days, and who mentors them.
DecisionsNew this weekThe Conference Board, 20 Oct 2026
Mixed
37%
37% of leaders say ownership of AI-related leadership decisions is inconsistent or unclear, while 64% say AI is already used across several functions or highly integrated.
What the source says
Survey of 775 international leaders plus 20 interviews. 85% of organisations where AI is highly integrated report clear ownership or formal governance, versus 26% of those still exploring. 38% expect fewer middle managers; 36% expect fewer frontline managers and project leaders. 52% rank critical thinking and decision-making as the most important enduring leadership skill. First recommendation: clarify AI accountability and decision rights.
Invest decision rights for AI work
Monday: List the five AI-touched decisions your team made last month. Name a single accountable owner for each and the human checkpoint before output is used. Publish the list by Friday.
Collaboration / Flow / AINew this weekAtlassian, 20 Oct 2026
Mixed
87%
87% of developers say AI helps them ship faster, yet 72% experience the same or more friction than before AI. Only 17% of developers and 23% of leaders say their organisation has a clearly communicated and implemented AI strategy.
What the source says
Finding information is again the top friction point, followed by meetings, context switching, technical debt and unclear requirements. Developers saving 10+ hours a week fell from 68% (2025) to 25% (2026); 65% regularly correct AI output; 60% say AI usage is treated as a productivity signal; 41% sometimes overuse AI because they feel expected to. Developers with a clear AI strategy are twice as likely to report less friction.
Scale shared knowledge and search · Cut AI usage as a productivity proxy
Monday: Stop reporting AI usage as a productivity measure. Replace it with one outcome (cycle time or time to find an answer) and ask the team to name its top friction point; fix one by Friday.
AI / DecisionsNew this weekGartner newsroom, 19 Oct 2026
Negative-leaning Mixedvalue scarce; the fix is cheap discipline
13%
13% of CIOs report significant or transformational AI value; only 31% have rules to stop a pilot reaching production and 17% to abandon low-value AI already in production.
What the source says
2027 CIO and Technology Executive Agenda survey of 2,002 CIOs and technology executives (May to Jul 2026). Use-case success odds remain one in five. Pilot stop rules make "vanguard" status 2.3 times more likely, production abandon rules 2.6 times. 58% face more pressure to deliver cost improvement from AI; 51% expect AI to raise total cost of ownership; only 4% have plans to redesign roles for a human-agent workforce; 40% expect IT headcount to grow in 2027.
Invest stop rules and value cases · Cut low-value AI in production
Monday: Write a one-line stop rule for every live AI pilot (the metric and date at which it is killed). Pick one AI feature already in production and decide keep, fix or switch off by Friday.
Decisions / AINew this weekGartner newsroom, 19 Oct 2026
Negative-leaning Mixed
25%
Only 25% of CIOs align technology and business risk; 71% expect to deploy agentic AI within 12 months but only 21% have agentic AI governance in place.
What the source says
IT Symposium/Xpo keynote. 58% of functional leaders see some positive AI value (Q2 2026, 1,000+ leaders), but CIOs report risk growing faster than value. 25% figure from a Q3 2026 survey of 303 CIOs and IT risk leaders; 71% vs 21% from a Q2 2026 survey of 2,000+ CIOs. Recommends aligning decision making, governance and accountability with value and risk objectives.
Invest decision rights and governance before agents
Monday: Before approving the next agent or automation, write who can switch it off, what it may decide alone, and which business risk owner signs it off. No owner, no go-live.
CollaborationNew this weekNotion / YouGov, 14 Oct 2026
Mixed
22%
Only 22% of UK respondents say they embed AI agents in team-wide systems or workflows; 37% say AI agents are changing how their teams collaborate.
What the source says
YouGov surveyed 6,000+ computer-based private-sector workers in the UK (2,063), France and Germany. Team-wide embedding: UK 22%, France 21%, Germany 18%. 38% of UK respondents say AI agents are changing how decisions are made (59% among daily users). Vendor-commissioned survey; treat as directional.
Scale team-wide AI workflows
Monday: Pick the one AI prompt or agent that most helps an individual on your team. Move it into the shared workspace with an owner and a usage note so the whole team runs the same version.
Why AI at work needs a rethink Notion / YouGov, 14 Oct 2026 · YouGov fieldwork 9 to 19 Jun 2026 Why AI at work needs a rethink (14 Oct 2026), cited findings
of projects succeed; the rest show the strategy gap as delivery failure
PMI's 2025 research finds that only about half of projects succeed, and traces the gap to a disconnect between planning and execution rather than to effort or intent.
35%
planning-execution disconnect reported across transformation workPMI 2025 press release
Outcome we help: Stop programmes that look busy and still miss the strategy.
Monday: Pick one live strategic initiative. In 30 minutes with the sponsor and delivery lead, write the single outcome that would count as value worth the effort, name the current measure, and mark whether it tracks activity or outcome. Share it with steering before Friday.
elite lead time for changes, against 1-6 months for low performers
DORA's 2024 research shows the gap between elite and low software delivery performers remains wide on lead time and change failure rate, and that the gap is visible in four evidence-based questions.
5% / 40%
change failure rate for elite versus low performersDORA 2024 report
Outcome we help: Stop vague agility claims; baseline and shrink batch and WIP.
Monday: Answer the four DORA questions with evidence for one critical service (deploy frequency, lead time, change failure rate, time to restore) and bring the answers to the next team huddle.
of knowledge workers say their team is pulled in too many directions
Atlassian's State of Teams 2024 finds teams pulled in too many directions, with a small share of time on mission-critical work and a large coordination cost across the Fortune 500.
Mid-market bridge: The billion-hour estimate is Fortune 500 scale. The worker-side figures, 70% wanting fewer, more specific goals, 64% pulled in too many directions and 56% planning and tracking differently, are the part mid-market teams should recognise first.
24%
of time goes to mission-critical workAtlassian State of Teams 2024
25B
hours lost annually across the Fortune 500 to poor collaborationAtlassian State of Teams 2024
Outcome we help: Stop goal sprawl and collaboration theatre.
Monday: Cut next quarter's goals to three outcomes; publish an owner for each; kill or park the rest in a visible not-now list by the end of the week.
State of Teams 2024 Atlassian (Teamwork Lab), 2024 Atlassian State of Teams 2024
Digital.ai's 17th State of Agile report finds that flow metrics remain rare: most organisations still steer delivery with individual project metrics or velocity, neither of which shows where work waits.
Mid-market bridge: Already size-relevant: the same report shows medium organisations are less satisfied with enterprise Agile than small ones. See the medium-organisation scale-barriers signal for that separate size split.
39%
still rely on individual project metrics17th State of Agile press release and report
36%
still rely on velocity as a primary measure17th State of Agile press release and report
Outcome we help: Stop vanity activity metrics; install flow visibility.
Monday: Count the WIP on one board; cap new starts at WIP minus one; record start and finish dates for the next five done items and read the median cycle time by Friday.
of decision-making time is reported as ineffective
McKinsey's 2019 decision research finds most decision-making time is used ineffectively, and that the organisations which decide quickly also decide well when roles and forums are explicit.
Mid-market bridge: The wage maths was modelled on a typical Fortune 500, but the survey pain, 61% of managers saying at least half of decision time is ineffective, is not reserved for giants. In a 50-500 person organisation, unclear decision rights show up as blocked boards, thrashing steering groups and delivery waiting on sign-off.
37%
of organisations make decisions that are both high quality and timelyMcKinsey 2019 article
~530,000
manager days per year lost to ineffective decision-making at a typical Fortune 500 companyMcKinsey 2019 article
Outcome we help: Stop decision theatre that slows delivery.
Monday: For one recurring leadership meeting, label each agenda item Decide, Discuss or Inform; name an owner for each Decide item; publish a three-line decision log afterwards.