Will AI Replace Sales Jobs in Ukraine? Here’s What to Do in 2025

By Ludo Fourrage

Last Updated: September 14th 2025

Illustration of AI and salespeople collaborating in an office in Ukraine, 2025

Too Long; Didn't Read:

AI won't wholesale replace sales jobs in Ukraine in 2025, but SDR and entry‑level roles face pressure; 61% of practitioners use AI, local ecosystem has 243 AI companies ($419.4M market). Automation shows 85% manual lead processing reduction and 131,623 leads processed. Reskill: co‑pilot AI and prompt engineering.

Will AI replace sales jobs in Ukraine in 2025? Short answer: not wholesale, but the frontline is changing fast - a Pave analysis shows entry‑level roles and SDR pipelines are already shrinking as firms automate repetitive outreach (Pave analysis of AI disrupting entry-level sales roles), and Ukrainian observers note experts routinely underestimated how quickly models improved this summer.

Tools that excel at research, personalization and lead scoring are reducing low‑value tasks, while human reps still win where trust, negotiation and reading nuance matter (Reply.io analysis on AI replacing salespeople).

For Ukraine's sales teams that means junior outreach roles face the most pressure - imagine SDR pipelines thinning like a once‑busy train station at dusk - and the clearest defense is practical reskilling: learn to co‑pilot AI, write better prompts and architect hybrid workflows with courses such as the AI Essentials for Work bootcamp (Nucamp).

BootcampLengthEarly bird costRegister
AI Essentials for Work15 Weeks$3,582Register for the AI Essentials for Work bootcamp (Nucamp)

'Overall, super forecasters assigned an average probability of only 9.7% to the observed results.'

Table of Contents

  • Quick reality check for Ukraine in 2025: adoption, data and results
  • What AI already does well in sales - implications for Ukraine
  • What AI struggles with - why human salespeople in Ukraine still matter
  • Sales roles most at risk in Ukraine (2025)
  • Evolving and higher-value roles for Ukrainian sales professionals
  • Practical upskilling plan for salespeople in Ukraine (step-by-step)
  • How Ukrainian sales teams should adopt AI: playbooks, measurement, and apprenticeships
  • Tools, vendors and partners to explore in Ukraine in 2025
  • Ukraine policy context and resources: WINWIN, AI strategy and training options
  • Three plausible scenarios for sales in Ukraine (3–5 years) and recommended next steps
  • Conclusion and 30/90/180-day checklist for Ukrainian sales pros
  • Frequently Asked Questions

Check out next:

Quick reality check for Ukraine in 2025: adoption, data and results

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Quick reality check for Ukraine in 2025: adoption, data and results show a fast, patchy rollout rather than an overnight takeover - global CRM teams report 86% are exploring new AI use cases and many deployments start bottom‑up, with 61% of practitioners already using AI in their work (Salesforce DevOps AI adoption report), while at home Ukraine's tech ecosystem is large and growing (243 AI companies, a $419.4M market and a fivefold rise in AI specialists over a decade) but still underfunded compared with peers (Ukraine ranks second in Eastern Europe for AI firms).

Practical results matter: regional newsrooms and small firms are already using AI for transcription, personalization and workflow automation, even as barriers - cost, data quality, compliance and language/localization gaps - keep adoption uneven across industries (DW Akademie on Ukrainian media AI use); think of it as pop‑up market stalls of capability across cities, not a single glowing mall.

CountryAI companies (2024)
Poland301
Ukraine243
Estonia154
Czech Republic121
Romania109

On the battlefield I did not see a single Ukrainian soldier. Only drones. I saw them [Ukrainian soldiers] only when I surrendered. Only drones, and there are lots and lots of them. Guys, don't come. It's a drone war.

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What AI already does well in sales - implications for Ukraine

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AI already knocks down the grunt work in sales that eats time and attention: fast prospect research, multichannel outreach, intent‑based lead scoring, response classification and CRM syncs that turn messy contact lists into prioritized follow‑ups - in short, the plumbing that makes personalized scale possible.

Real results from platforms like AiSDR AI sales case studies show hours saved, thousands of leads processed and meetings booked as soon as the next day, while intelligent in‑house systems can auto‑classify replies and pause or redirect campaigns so human reps only handle high‑value conversations (see a practical example in Cheit's Cheit intelligent B2B lead generation case study).

For Ukrainian teams, the local AI SaaS ecosystem - from lead tools to customer‑service copilots highlighted in the Top Ukrainian AI SaaS roundup - means these capabilities are accessible without long vendor chains.

The implication: small sales teams can suddenly fill calendars and focus on negotiation and relationship work instead of data entry - imagine a funnel that used to trickle now sending a demo invite within 24 hours, freeing reps to do what AI still can't: build trust and close complex deals.

MetricResultSource
Hours saved91,653AiSDR AI sales case studies
Leads processed131,623AiSDR AI sales case studies
Manual lead processing reduction85% reductionCheit intelligent B2B lead generation case study

“Lead generation isn't just about sending emails; it's about creating meaningful connections with potential clients at the right moment. That requires intelligence, timing, and persistence – three things that our solution excels at delivering.”

What AI struggles with - why human salespeople in Ukraine still matter

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AI speeds research and automates routine redlines, but it still stumbles where human salescraft matters most: reading emotional cues, improvising when talks go off-script, and building the durable trust that closes big, complex deals - limitations well documented in an analysis of AI and negotiation (AI and negotiation analysis - Aligned Negotiation).

In contract work the tech is useful as a first pass, yet only 31% of in‑house teams used AI to redline last year, underscoring that context‑rich judgment and escalation still need people (AI contract negotiation guide - Juro).

For Ukrainian sales teams this gap is amplified by an evolving regulatory patchwork and coordination challenges - Ukraine's AI policy landscape still lacks a single, settled law, creating compliance friction for cross‑border deals (Legal regulation of AI in Ukraine analysis).

The result: AI can accelerate preparation, but in Kyiv boardrooms, supplier talks and high‑stakes renewals a human who senses nuance, adapts tactics and preserves relationships remains the decisive advantage - think of AI as the scout that maps the terrain while people win the village.

LimitationWhy it matters in Ukraine (2025)Source
Lack of emotional intelligenceUndermines complex negotiations and trust-buildingAI and negotiation analysis - Aligned Negotiation
Low redline adoptionAI handles routine clauses but needs human oversight in context-rich contracts (31% adoption)AI contract negotiation guide - Juro
Regulatory fragmentationUnclear national law and coordination gaps increase compliance risk for sellersLegal regulation of AI in Ukraine analysis - Oliinyk

"We're still quite conservative as lawyers. We don't just let the agent do its thing. We still maintain this within the legal team, but as a first line of review, and getting that first line in, it's really helpful. The team's very happy with what they've been getting back from Juro's AI" - Jandré Bester, Senior Legal Operations Manager at Luno

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Sales roles most at risk in Ukraine (2025)

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Entry‑level and highly repeatable sales roles are the most exposed in Ukraine in 2025: think SDRs, manual CRM/data‑entry seats and scripted inside‑sales outreach where personalization and judgement are limited.

Global signals make the risk clear - routine clerical and admin work is already the fastest‑shrinking category as AI scales across functions (see the World Economic Forum's analysis of 2025 labour shifts), while Ukraine's own tech surge and war‑accelerated digitisation make employers prize AI/data fluency (N‑iX's 2025 Ukraine tech landscape).

Local market pressures - rising pay premiums for AI and cloud skills - mean companies can afford to buy automation and hire fewer low‑skilled handlers (see Ukraine IT salary trends in 2025).

The practical picture: SDR benches are likely to thin into a leaner cohort of hybrid reps who co‑pilot AI, and those who don't reskill may find the old career ladder missing its bottom rung; a vivid way to see it is a sales funnel that used to trickle from many juniors now funnelling fewer, more technical sellers.

The clearest defence is targeted upskilling into AI‑augmented selling, analytics and strategic account work.

On the battlefield I did not see a single Ukrainian soldier. Only drones. I saw them [Ukrainian soldiers] only when I surrendered. Only drones, and there are lots and lots of them. Guys, don't come. It's a drone war.

Evolving and higher-value roles for Ukrainian sales professionals

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As AI trims routine outreach, Ukrainian sales careers are shifting upward into hybrid, technical and strategy‑heavy roles: expect a premium on sales engineers and solution architects who can translate AI product capabilities into customer ROI for platforms such as People.ai and Snov.io, and on data‑savvy revenue‑ops professionals who turn CRM exports into actionable segmentation and pricing signals (see the roundup of Ukrainian AI SaaS builders for concrete examples).

AI orchestration is becoming a specialist function - someone must stitch models, workflows and CRMs together so automation actually scales and stays reliable, a need explained in depth by the AI orchestration playbook - and that creates openings for program managers who pair technical literacy with commercial judgment.

Retail and field sales will reward specialists who understand computer‑vision checkout, geofencing and personalization tools deployed by local chains, while compliance‑oriented sellers will be sought for regulated verticals that need careful vendor selection and documentation.

In short: the safest career path isn't resisting automation but combining domain expertise, AI literacy and customer‑facing craft - imagine a rep who shows up to a renewal with an AI‑curated, hyper‑local growth plan instead of a spreadsheet, and suddenly the conversation is strategic not transactional.

Evolving RoleWhy it matters in Ukraine (2025)Source
Sales Engineer / Solution ArchitectMaps complex AI features to buyer outcomes for Ukrainian SaaS productsTop Ukrainian AI SaaS companies - 2025 roundup
AI Orchestration LeadIntegrates multiple AI tools and workflows so automation scales reliablyGuide to AI orchestration for scaling intelligent automation
Retail AI Integration SpecialistImplements in‑store CV, geofencing and personalized marketing used by Ukrainian retailersHow Ukrainian retail leverages artificial intelligence - Deloitte
Revenue Ops / Data AnalystTurns CRM and product telemetry into prioritized pipeline actionsTop Ukrainian AI SaaS companies - 2025 roundup

“Artificial intelligence is only gaining momentum, but it clearly already is and will be an indispensable assistant in forecasting, prioritizing, model building, and interacting with customers.”

Fill this form to download the Bootcamp Syllabus

And learn about Nucamp's Bootcamps and why aspiring developers choose us.

Practical upskilling plan for salespeople in Ukraine (step-by-step)

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Step 1: lock a quick win with a beginner prompt course to build usable skills fast - take the self‑paced "Prompt Engineering for Beginners" (≈1 hour, $49) to learn how to structure prompts that make AI handle routine outreach and summarization (Prompt Engineering for Beginners - UW‑Stout course page).

Step 2: deepen into developer‑level prompt techniques (LLM patterns, API usage and systematic prompt iteration) with the short "ChatGPT Prompt Engineering for Developers" course to build reliable automations and simple copilots for CRM tasks (ChatGPT Prompt Engineering for Developers - DeepLearning.AI course page).

Step 3: apply lessons directly to Ukraine workflows - use the Nucamp Ukraine implementation checklist to run a safe pilot (data residency, language/localization, and vendor selection), practise the "top 5 AI prompts" on bilingual leads and Google Gemini market intel, then scale what reduces manual work while keeping humans on high‑trust conversations (Nucamp AI Essentials for Work implementation checklist (Ukraine pilot)).

Think of this path as swapping a day of document sifting for a one‑page, AI‑curated sales brief - fast, repeatable, and directly tied to measurable pipeline wins.

CourseDurationCostLink
Prompt Engineering for Beginners~1 Hour$49Prompt Engineering for Beginners - UW‑Stout course page
ChatGPT Prompt Engineering for Developers1 hr 30 minFree (limited)ChatGPT Prompt Engineering for Developers - DeepLearning.AI course page

How Ukrainian sales teams should adopt AI: playbooks, measurement, and apprenticeships

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Adopt AI the way Ukrainian teams already adopt new sales channels: start small, measure relentlessly, and make playbooks living assets rather than dusty PDFs.

Use generative models to ingest local CRM exports, call transcripts and Slack threads and synthesize a single, data‑driven playbook (the Trust Insights walkthrough shows exactly how to pull multiple sources, merge outputs and QA the result: Trust Insights generative AI sales playbook walkthrough).

Put that playbook into production with a real‑time guidance layer so reps get on‑call prompts, checked boxes and coachable moments - Dialpad's Ai Playbooks explain how live adherence tracking and post‑call analytics turn process into measurable coaching signals (Dialpad AI Playbooks: live adherence tracking and post‑call analytics).

Pair rollout with a Ukraine‑specific implementation checklist to address data residency, bilingual prompts and vendor selection, run short apprenticeships that combine shadowing with small AI tasks, and A/B test sequences and adherence KPIs weekly so the organisation learns fast (see the practical checklist for Ukraine pilots: Ukraine AI in sales pilot checklist).

Think of the effort as building a cockpit: every call and CRM note feeds the instruments, and humans remain at the controls for judgment, negotiation and trust.

“Improves both the efficiency of our outbound salespeople and the relevance of their conversations.” - Jordi Romero, Factorial

Tools, vendors and partners to explore in Ukraine in 2025

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Tools, vendors and partners to explore in Ukraine in 2025 should start with the growing roster of local AI SaaS - pick specialists first and stitch them together: lead‑gen platforms like GetProspect and Snov.io for verified contacts, social‑listening and brand intelligence from YouScan, retail pricing engines such as Competera (which advertises repricing speed gains up to 90%), and all‑in‑one workspaces like Cabina.AI for LLM access and RAG workflows; consult the Quoleady Top Ukrainian AI SaaS roundup for a practical shortlist.

For market context and talent availability, use the N-iX 2025 Ukraine Tech Landscape report as a vendor‑selection compass.

When a bespoke copilot or reliable orchestration layer is needed, partner with experienced custom builders from the generative‑AI vendor lists (see the BotsCrew top custom generative AI companies list) and plan a short pilot that measures lead velocity, reply rates and compliance before scaling - think of local SaaS as modular instruments and custom teams as the mechanics who wire them into a cockpit that sales teams can actually fly.

VendorPrimary useSource
GetProspect / Snov.ioB2B lead generation & email outreachQuoleady Top Ukrainian AI SaaS roundup
YouScanAI social listening & visual insightsQuoleady Top Ukrainian AI SaaS roundup
CompeteraAI retail pricing (fast repricing)Quoleady Top Ukrainian AI SaaS roundup
Cabina.AI / Intelswift / GravitecLLM workspace, AI helpdesks, push & engagement toolsQuoleady Top Ukrainian AI SaaS roundup
BotsCrew (and peers)Custom generative AI development & agentsBotsCrew top custom generative AI companies list

“AI leverages advanced machine learning algorithms and Big Data analytics to process vast amounts of unstructured and structured data in real-time.”

Ukraine policy context and resources: WINWIN, AI strategy and training options

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Ukraine's national playbook for AI and tech talent is no longer a wish list - WINWIN (the Ukrainian Global Innovation Strategy to 2030) makes AI one of 14 priority sectors, embeds education and talent development as a core pillar, and explicitly funds pilots, CoEs and market access to help firms scale (see the WINWIN official site for the roadmap and resources).

That means policy is shifting from ad‑hoc adoption to an ecosystem that supports training, bilingual model development and safe sandboxes: the first WINWIN Center of Excellence for Artificial Intelligence is already operational, a WINWIN Project Office now coordinates legislative roadmaps and public‑private pilots, and international partners (USAID, the UK Good Governance Fund and EU initiatives) are active in implementation and capacity building.

For sales teams this matters because the state is backing reskilling pathways and R&D hubs that can host short apprenticeships, language‑aware model work and industry pilots - in practice, expect faster approvals for safe AI trials, clearer signals on data residency and growing public funding for upskilling programs that plug talent directly into incubators and exporters of AI services.

Explore the full strategy and implementation notes at WINWIN official roadmap and resources and the DigitalState coverage of WINWIN Global Innovation Strategy 2030 for next steps.

ItemDetailSource
WINWIN strategy14 priority sectors including AI; focus on pilots, CoEs and talentDigitalState overview of WINWIN Global Innovation Strategy 2030
Official portalRoadmap, resources and stakeholder linksWINWIN official portal - roadmap and resources
Implementation & partnersWINWIN Project Office, BRDO, USAID and UK fund support for pilots and regulationBRDO analysis of WINWIN implementation and partners

Three plausible scenarios for sales in Ukraine (3–5 years) and recommended next steps

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Three realistic paths for Ukrainian sales over the next 3–5 years: (1) Optimistic surge - with GDP accelerating toward the 5% range by 2027–28 and active investment, AI becomes a productivity multiplier so sales teams scale with hybrid reps and copilots, turning pipelines into bustling marketplaces; (2) Patchwork adoption - tech hubs and exporters advance fast while many sectors lag, creating a mosaic of AI‑powered pockets and human‑led niches where local pilots dominate; and (3) Cautionary slowdown - slower growth and overhyped innovation leave many firms hesitant, producing a gated bazaar of tools that never fully integrate.

The evidence is mixed: official forecasts outline both optimistic and conservative macro paths (NV English: Ukraine projects two economic growth scenarios through 2028), industry voices see big promise if talent and investment land, and cautionary takes warn against assuming a single innovation model will win everywhere (War on the Rocks: “Ukraine Isn't the Model for Winning the Innovation War” analysis).

The practical next steps are identical across scenarios: run small bilingual pilots, lock measurable KPIs, and upskill sales teams to co‑pilot AI using tested checklists and tools - a step‑by‑step Ukraine implementation checklist helps avoid common pitfalls and speed wins (Nucamp AI Essentials for Work implementation checklist and syllabus).

Picture it this way: whether the market becomes a busy bazaar or a handful of specialist stalls, the teams that learn to fly the cockpit instruments (data, prompts and pilots) will steer the deals.

ScenarioMacro projection (selected years)Sales implication
Optimistic surge2027 GDP ≈ 5.0%, 2028 ≈ 5.7% (NV English economic forecast: GDP estimates 2027–2028)Widespread AI pilots, rapid hybrid role growth
Patchwork adoptionMixed regional growth; sectoral winners and laggardsLocalized AI hubs, targeted vendor partnerships
Cautionary slowdown2026–2028 conservative path: slower growth, higher uncertainty (NV English conservative scenario through 2028)Selective pilots, strong emphasis on ROI and compliance

Conclusion and 30/90/180-day checklist for Ukrainian sales pros

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Conclusion: Ukrainian sales pros should treat 2025 as the moment to move from fear to a practical playbook - Kyiv's new AI Committee is already sketching a national roadmap through 2030 that will speed pilots, talent programs and clearer rules for bilingual models (Kyiv AI Committee and Ukraine's AI strategy), and a startup ecosystem now worth roughly $25B with ~2,600 startups means local partners and vendors are available to run fast pilots (Ukraine startup growth and market context).

Practical 30/90/180 checklist: 30 days - inventory CRM data and compliance needs, run one bilingual pilot sequence and document 3 repeatable prompts; 90 days - lock a measurable KPI (lead velocity or reply rate), train a small cohort on prompt technique and deploy an AI‑assisted playbook; 180 days - scale the reliable workflows, formalize apprenticeship handoffs and partner with local AI vendors or training paths to fill gaps (consider the 15‑week AI Essentials for Work bootcamp for structured reskilling and prompt practice to build team confidence and measurable outcomes) (AI Essentials for Work bootcamp - Nucamp).

Picture it as swapping a day of manual research for a one‑page, AI‑curated sales brief that gets meetings booked and leaves humans to close the deal.

ProgramLengthEarly bird costRegister
AI Essentials for Work15 Weeks$3,582Register for AI Essentials for Work (Nucamp)

Frequently Asked Questions

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Will AI replace sales jobs in Ukraine in 2025?

Not wholesale. AI is automating repetitive outreach and grunt work - Pave-style signals and local observation show entry-level pipelines are already shrinking - but human reps remain essential for trust, negotiation and nuanced judgment. Adoption in 2025 looks fast and patchy (about 61% of practitioners report using AI in work globally), and Ukraine's rollout is uneven: a strong local AI ecosystem (243 AI companies, ~$419.4M market and a fivefold rise in specialists over a decade) makes automation accessible, but results vary by industry and data/compliance constraints. Three plausible macro scenarios (optimistic surge, patchwork adoption, cautionary slowdown) mean outcomes differ by firm and sector; the practical takeaway is to reskill and learn to co‑pilot AI rather than expect mass layoffs everywhere.

Which sales roles in Ukraine are most at risk from AI and why?

Entry‑level, highly repeatable roles - SDRs, scripted inside sales and manual CRM/data‑entry seats - are most exposed because AI excels at prospect research, multichannel outreach and lead scoring that replace routine tasks. Global labor analyses show clerical/admin work is shrinking fastest, and local market forces (rising premiums for AI/cloud skills, growing local AI SaaS) make automation a cost‑effective substitute for low‑skilled handlers. Practical metrics from deployments show big efficiency gains (example aggregated results: 91,653 hours saved, 131,623 leads processed and up to an 85% reduction in manual lead processing), which directly reduce demand for repetitive roles.

What concrete steps should Ukrainian salespeople take in 30/90/180 days to stay relevant?

Follow a short, measurable upskilling path: 30 days - inventory CRM data and compliance needs, run one bilingual pilot sequence, and document three repeatable prompts; 90 days - lock a measurable KPI (lead velocity or reply rate), train a small cohort on prompt techniques (beginner prompt courses ≈1 hour, ~$49) and deploy an AI‑assisted playbook; 180 days - scale reliable workflows, formalize apprenticeship handoffs and partner with local AI vendors or training programs (example: 15‑week 'AI Essentials for Work' bootcamp) to build team confidence and measurable outcomes. Parallel skills to learn: prompt engineering (beginner → developer level), AI orchestration, basic analytics/revenue‑ops and hybrid selling (sales engineering/solution architecture).

What does AI already do well in sales and where does it still fail?

AI excels at the 'plumbing' - fast prospect research, personalization at scale, intent‑based lead scoring, response classification and CRM synchronization - delivering measurable wins like hours saved and thousands of leads processed. However, it struggles with emotional intelligence, improvisation in off‑script negotiations, and context‑rich contract judgment: only about 31% of in‑house teams used AI to redline contracts last year, underscoring the need for human oversight. In Ukraine those gaps are amplified by regulatory fragmentation and bilingual/localization challenges, so AI is best viewed as a scout that accelerates prep while humans close complex deals.

How should Ukrainian companies adopt and measure AI safely in sales?

Adopt incrementally: start small with bilingual pilots, use clear KPIs (lead velocity, reply rate, pipeline conversion), and treat playbooks as living documents. Build a real‑time guidance layer (on‑call prompts, coachable moments), run short apprenticeships combining shadowing with small AI tasks, and A/B test sequences and adherence weekly. Address data residency, localization and vendor selection up front (Ukraine's WINWIN strategy and emerging Centers of Excellence support pilots and training). Partner local AI SaaS for modular capabilities and use custom builders for bespoke copilots; measure before scaling and prioritize compliance and measurable ROI.

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Ludo Fourrage

Founder and CEO

Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. ​With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible