AI Adoption Services
We map every revenue-generating process in your company, find the places where growth is capped by human bandwidth, and deploy autonomous AI agents that lift the ceiling. The outcome: 4–7× more qualified leads, 3–5× capacity per team member, and a business that grows fast enough to hire ahead of demand — not behind it.
1 week · 1 process · ROI memo · fee credited against the Audit
What is Agentic AI?
Agentic AI is software that can take multi-step actions on its own — reading your systems, making decisions, and completing work end-to-end with minimal supervision. Think of it as an extra growth engine alongside your team — qualifying every lead, following up every prospect, working every channel — so your humans can focus on closing, building relationships, and the high-judgement work that actually compounds revenue.
Not a chatbot. Not a script. An agent that reasons, integrates with your tools, and improves over time — governed by guardrails you define.
4–7×
Lead-conversion uplift
Landbase, 2025
3–5×
Revenue capacity per team member
McKinsey, 2024
23%
Net profit margin lift
Rep Order Management, 2025
171%
Typical year-one ROI
Industry benchmarks
The SAAF Methodology
Selfound AI Adoption Framework — three phases, measurable outcomes at every stage, and full ROI visibility from day one.
We deep-dive into every revenue-generating process — sales, support, operations, finance, HR — and find the bottlenecks where growth is capped by human bandwidth, not by demand.
We build custom Agentic AI solutions — autonomous agents that qualify leads, expand pipeline, support customers, and unlock multi-step workflows your team has never had time to run at scale.
Agents learn and improve over time. As revenue grows, we expand coverage across departments — so your team can hire ahead of demand instead of drowning under it.
Every department has a ceiling — the point where growth stalls because there aren't enough hours in the day. Here's where AI agents lift it, so the business can keep scaling.
AI agents prospect, qualify, and nurture leads 24/7. Instant follow-ups, personalised outreach at scale, and no lead ever goes cold.
4–7× conversion lift
Landbase, 2025
Instant answers, proactive check-ins, and never-miss follow-ups. Higher CSAT lifts retention and LTV — and your support team gets the headroom to drive expansion revenue, not just close tickets.
+14pt CSAT, higher LTV
Gartner / Selfound deployments
Data entry, invoicing, reporting, CRM hygiene, compliance checks. Operations stop being the bottleneck — so the business can take on 3–5× more volume without hiring an ops army to keep up.
3–5× ops throughput
McKinsey, 2024
CV screening, candidate outreach, onboarding workflows, employee queries. Hire faster as you grow — so headcount keeps up with demand instead of capping it.
75% faster time-to-hire
Deloitte, 2024
Demand forecasting, order processing, supplier communications, inventory management. Capture demand you used to miss — fewer stockouts means more revenue, not just less waste.
+20–35% capture rate
BCG, 2025
Real-time reporting, instant reconciliation, live cashflow and unit-economics dashboards. Faster, sharper decisions — so leadership can press on growth with confidence instead of waiting for month-end.
Real-time vs month-end
PwC, 2024
Hire ahead of demand, not behind it
We don't help companies fire people. We help them grow fast enough that they need to hire more — and then make sure those hires land in jobs worth doing. Agents absorb the repetitive work. Humans handle relationships, strategy, and the deals that close the next round of growth.
| Dimension | Today (capped by bandwidth) | With AI agents in the loop |
|---|---|---|
| Availability | Business hours, 5 days/week | 24/7/365 — leads never wait, customers never queue |
| Outreach capacity | ~40 calls + 40 emails per SDR/day | Thousands of personalised touches in parallel |
| Ramp-up time for new hires | 3 months to full productivity | New joiners productive on day one — agents do the ramp work |
| Revenue capacity per team member | Fixed by hours in the day | 3–5× more pipeline, deals, accounts handled |
| Lead response time | Minutes to hours | Under 1 second — consistently |
| Personalisation at scale | Bandwidth-limited | Hyper-personalised across every contact |
| Process consistency | Varies by individual & day | 100% consistent, auditable execution |
| What your team gets to do | Mostly admin + repetitive tasks | Closing deals, growing accounts, building product, hiring |
Source: McKinsey State of AI, 2025
Source: BCG, PwC enterprise reports, 2024–2025
The business case is a growth case: more revenue per dollar invested, more pipeline per team member, and margin expansion as you scale.
Companies see $4.80 in revenue return for every dollar spent on AI sales technology. The median payback period is just 5.2 months.
Rep Order Management / Salesforce
After the initial payback period, AI investments deliver 317% average annual returns — more than tripling the investment each year.
Multimodal / Industry benchmarks
Organisations integrating AI into sales report a 23% average increase in net profit margins — higher revenue at lower cost.
Rep Order Management, 2025
88%
of executives see early AI returns
PwC
25%
shorter sales cycles
McKinsey
63%
of revenue from AI-nurtured customers
GoHighLevel
97%
of sales leaders say AI boosts productivity
Salesforce
Proof & representative engagements
A headline deployment from our team's track record, plus pattern-based examples showing the kind of outcomes our methodology produces.
Delivered in-house at IndeedFlex by a senior member of the Selfound team.
The problem. Thousands of flex workers were raising support tickets through Salesforce for the same repeatable issues — missing hours, missing payments, and false no-shows (where an employer marked a worker absent even though they had worked the shift). Support agents were spending most of their time triaging, not resolving.
The build. A conversational AI agent integrated directly into the worker app and Salesforce Service Cloud. Workers described their issue in natural language; the agent pulled shift records, payment history, and employer attendance logs to resolve clear-cut cases autonomously and prepare a fully-enriched ticket for humans on the edge cases.
The outcome. Ticket closure rates jumped dramatically, workers got same-day resolution on issues that previously took days, and the support team refocused on complex, human-judgement cases instead of repetitive lookups.
84%
Improvement in Salesforce ticket closure
vs. pre-deployment baseline
Missing hours
Auto-resolved via shift-record cross-check
Missing payments
Pipeline traced end-to-end, paid automatically where valid
False no-shows
Employer attendance logs reconciled with worker check-ins
Representative pattern engagements — illustrative scenarios drawn from industry benchmarks, showing the kind of outcomes SAAF produces. Named client references available under NDA during the Discovery Sprint.
Problem. SDR team burning 70% of hours on lead research and outbound sequences. Response rates flat, pipeline coverage under target for two quarters.
Approach. Deployed a prospecting + qualification agent stack integrated with HubSpot and Apollo. Agents research, personalise, sequence, and book — SDRs take over at the qualified meeting.
5.2×
Qualified meetings/SDR
−62%
Cost per qualified meeting
94 days
To positive ROI
AI Agent Deployment · $120K
Problem. Support team drowning in L1 tickets (order status, returns, sizing). CSAT slipping; Black Friday queue hit 48 hours.
Approach. Customer support agent layered on Zendesk with live order-system access. Handles L1 autonomously, drafts L2 responses for human approval, escalates edge cases with full context.
78%
L1 tickets auto-resolved
<1 min
Average first response
+14pts
CSAT in first quarter
AI Agent Deployment · $90K
Problem. Compliance ops doing KYC reviews and transaction monitoring manually. Bottleneck at 40 reviews/day/analyst; backlog growing.
Approach. KYC + transaction-review agents with human-in-the-loop for anything ambiguous. Full audit log, regulator-ready trail, zero autonomous rejections.
4.1×
Reviews per analyst/day
100%
Audit trail coverage
−55%
Backlog in 60 days
Strategy Audit + Deployment · $160K
Pattern-engagement figures derived from comparable deployments and industry benchmarks (McKinsey 2024, Gartner 2025, Landbase 2025).
We ship AI ourselves
We build and ship AI products in our own portfolio — across healthcare, recruitment, hospitality, and startup tooling. The playbook we sell isn't theory; it's what we use on our own ventures every day.
When you hire us, you get an engineering team that lives AI end-to-end — from agent architecture to evals to production observability — not a deck from advisors who've never shipped an agent.
Helsi.ai
Healthcare · AI nutrition & insulin dosing
Replicant
Recruitment · AI avatars for hiring
cofounder.im
Startup tooling · AI co-pilot for founders
Gymbile
Health · Trainer↔client platform
BaristaCard
Hospitality · Coffee-shop loyalty
+ more
Research & stealth-stage ventures
Why Selfound
The honest comparison. Pick the model that matches your stage, risk tolerance, and speed-to-value requirements.
| Dimension | Selfound | In-house AI team | Big 4 / Strategy consultancy | AI-native bodyshop |
|---|---|---|---|---|
| Time to first production agent | 4–8 weeks | 6–12 months to hire & ramp | 3–6 months (deck-heavy) | 6–12 weeks (variable quality) |
| All-in cost, year one | $75K–$180K | $800K+ (salaries, tooling, churn) | $500K–$2M+ | $100K–$300K |
| Ships production code | Yes — we build & run agents | Depends on senior hires | Rarely — hands off to you | Yes |
| AI depth | Daily — on our own portfolio | Hire-dependent | Generalist practice leads | Usually yes |
| Strategic rigour | Audit + roadmap + deploy | Depends on leadership | Strong decks, weak build | Build-first, light on strategy |
| Governance & evals | Built in from day one | Rarely before incident | Frameworks on paper | Varies significantly |
| Vendor lock-in risk | Low — we train & hand over | None (internal) | High — recurring advisory | Moderate |
| Skin in the game | Studio: we ship AI ourselves | Your payroll | Hours billed, not outcomes | Project-based |
Built for enterprise
AI only earns a seat at the table if it's accountable. Every Selfound deployment ships with guardrails, audit trails, and human-in-the-loop by default.
Your data stays in the region you choose (EU, US, UK). No training on your prompts by default. DPAs and data-processing terms signed before engagement starts.
Not locked to one provider. We recommend the right model per workload — OpenAI, Anthropic, open-source, or self-hosted — and document how to swap.
Every agent has defined escalation paths and approval thresholds. Humans review anything high-risk, ambiguous, or financially material. You set the bar.
Automated evals on every deployment — accuracy, hallucination, tone, jailbreak resistance. Regression tests before any agent ships to production.
Every decision the agent makes is logged: inputs, tool calls, outputs, reasoning. Full audit trail for internal review, compliance, and regulator requests.
Architecture designed to fit into your existing compliance framework. We support SOC 2, GDPR, HIPAA-adjacent workflows, and financial-services controls.
Companies that don't adopt AI now will be competing against those that already have.
$199B
Projected global agentic AI market by 2034 — growing at 43.84% CAGR.
79%
of organisations already report AI agent adoption.
96%
plan to expand agentic AI usage in 2026.
68%
of customer interactions will be handled by agentic AI by 2028.
2024
Agentic AI market valued at $5.25B. Early adopters gain competitive edge.
2025
79% of organisations adopt AI agents. Budget allocation for AI doubles.
2027
50% of GenAI users deploy autonomous agents. Multi-agent systems dominate.
2028
33% of enterprise software includes agentic AI (Gartner). The new standard.
2034
Market reaches $199B. Late adopters face existential competitive gaps.
Investment & engagement model
Premium AI transformation — priced for the outcomes it enables. Success comes from the agent we ship and from how your team acts on what it produces. That's not a disclaimer — it's how we structure the engagement.
How we de-risk your engagement
AI outcomes depend on two things: the agent we build, and what your team does with the data, leads, and signals it generates. We can commit to our half with confidence. We won't pretend to guarantee yours — instead, we structure the work so risk is contained at every step.
Honest go / no-go at Discovery Sprint
If our 1-week memo concludes AI won't materially move the needle for your use case, we say so — in writing. You walk away $3K lighter and months ahead of committing to the wrong project.
Joint success metrics, locked in writing
Target KPIs, baselines, and measurement methodology are defined together during the Audit and signed into the Deployment SOW. No moving goalposts.
Milestone-based billing, cancellable
You pay for shipped milestones. Unstarted work is cancellable on 14 days' notice with no penalty. Everything delivered — code, evals, runbooks — stays yours.
Engineering-quality SLA on the agent itself
If the agent we ship fails against the accuracy, latency, or coverage thresholds in the SOW, we keep engineering at no extra cost until it passes. What the agent can't control — adoption, process change, team follow-through — is owned jointly in the engagement plan.
One week, async. We map one high-impact process, model the ROI, and deliver a short memo on whether AI will move the needle for your business. Fee credited in full against the Strategy Audit if you proceed.
$3,000 flat
1 week · async
Deep-dive into your operations. We map every process, find the bottlenecks capping growth, and deliver a prioritised AI roadmap focused on revenue and capacity uplift.
$15,000 – $25,000
2–3 week engagement
Fee credited against Deployment if signed within 60 days
We design, build, and deploy custom AI agents for 1–2 departments. Full integration with your existing tools. Production-ready.
$75,000 – $180,000
2–4 month engagement
$75K–$90K for 1 department · $120K–$180K for 2 departments
Full organisation-wide AI overhaul. Multi-department, multi-agent systems with continuous optimisation and quarterly ROI tracking.
$150,000 – $750,000
4–12 month engagement
Engagements above $750K are scoped bespoke
Steady-state monitoring for deployed agents. Uptime, quality sampling, monthly health report. For teams who want to own day-to-day operations themselves.
$3,000 – $5,000/month
3-month minimum
Active performance tuning, new-department expansion, and continuous agent improvement. Our team owns the roadmap and reports ROI quarterly.
$10,000 – $25,000/month
6-month minimum
For pre-seed and seed-stage startups building AI-native products. We take part of our fee in equity — aligning incentives for the long game. Selfound is a venture studio, not a consultancy: we win when you do.
$30,000 + 0.5–2% equity
Subject to diligence & fit
With 171% average ROI and a 5.2-month payback period, your investment starts generating returns before the engagement even ends.
Fixed-fee engagements with defined deliverables. You know exactly what you're getting and when. No surprise invoices, no scope creep.
We build and ship AI products ourselves. You get execution from a team that lives AI daily — not a deck from advisors who've never deployed an agent.
Who you're working with
Selfound is a small, senior team of engineers and operators who've spent years shipping AI into production — on our own portfolio and for enterprise clients.
No junior pass-through. Every engagement is led and delivered by senior engineers and AI practitioners with 10+ years of shipping experience.
On Deployment and Transformation engagements, a Selfound founder is directly accountable for outcomes — not a partner name on the SOW.
Patterns, evals, and tooling we've battle-tested across our ventures come with you — accelerating every engagement by months.
Team bios, prior exits, and references available on request during the Discovery Sprint.
Questions we hear often
Your data stays in the region you choose (EU, US, or UK) and is never used to train public models by default. We sign a Data Processing Agreement before kick-off that defines exactly what we access, how long we retain it, and your rights to delete. Sensitive data can be restricted to on-prem or your VPC.
You do. All agent logic, prompts, configuration, and integrations are delivered to your repository under a standard IP assignment. We keep no backdoor access post-engagement. If you want to take the work in-house, we train your team and hand over; if you want us to run it, that's the Managed Retainer.
Every Selfound deployment is architected to be provider-portable. The agent logic lives in your codebase; the model is a plug-in dependency. When GPT-5 or Claude 5 or a stronger open-source model arrives, swapping takes days, not months — and we include one model-migration cycle in the Managed Retainer.
Success metrics are defined in writing during the Audit phase: specific KPIs (cost per interaction, resolution rate, conversion lift, cycle time), baseline measurements, and target thresholds. These are locked into the Deployment SOW and tracked in a live dashboard you have access to from go-live onwards.
We treat them as engineering problems, not mysteries. Every agent ships with: (1) pre-prod evals covering accuracy, tone, and jailbreak resistance; (2) production guardrails detecting hallucination patterns and PII leaks; (3) human-in-the-loop on anything high-risk. For regulated workflows, agents never act autonomously on material decisions.
No — and bluntly, that's not the kind of work we take. The clients who win with us are the ones using AI to grow: more pipeline, more customers served, more markets entered. Growth like that needs more people, not fewer — but they land in roles worth doing (closing, building, leading) instead of repetitive admin. If your strategy is pure cost-cutting through headcount reduction, we're the wrong partner.
Discovery Sprint: 1 week. Strategy Audit: 2–3 weeks with a full roadmap. First agent in production: typically 4–8 weeks from Deployment kick-off. We favour narrow-scope, high-confidence launches over 12-month mega-projects — earlier feedback, lower risk, compounding wins.
Yes — that's explicitly supported. During Deployment we document the architecture, evals, and operational runbooks. At hand-over, your team receives a 2-week shadowing + training programme at no extra cost. You're never locked into a vendor relationship with us.
Engagements are milestone-based. You pay for completed milestones only; unstarted work is cancellable on 14 days' notice with no penalty beyond the current milestone. Everything delivered to date — code, audit, roadmap — remains yours.
Deepest depth in B2B SaaS, e-commerce, regulated fintech, healthtech, and recruitment — partly through client engagements and partly through our own portfolio (Helsi.ai, Replicant, cofounder.im, Gymbile, BaristaCard). If your industry isn't listed, the Discovery Sprint is the low-risk way to test fit.
Start with a $3K Discovery Sprint — one week, one revenue-critical process mapped, a clear memo on the growth AI can unlock for your business. Fee credits toward the Audit if you proceed.