AI implementation agency
We put AI agents to work inside your business.
01 — Who we are
A specialist in the technology, a generalist in the industry.
Steadyloom is an AI agency. We implement AI agents inside businesses — any business — to make teams measurably more productive. We are not a media agency, not a consultancy that stops at slides, and not a SaaS you adapt to. We build systems around the way you already work.
Builders, not advisors
Our team ships production systems: agent orchestration, API integration, data pipelines, evaluation. The deliverable is working software, not a recommendation.
The method transfers
We've deployed agents in media, healthcare, e-commerce, industry and B2B distribution. Sectors change; the discipline of finding, automating and measuring a workflow doesn't.
Judged on numbers
Every engagement starts by measuring a baseline. If the agent doesn't beat the human process on time or quality, it doesn't ship.
02 — What we do
Four things. Done end-to-end.
Identify what to automate
We audit real workflows — not org charts. We shadow the work, time it, cost it, and rank every candidate by hours × frequency × pain. You get an opportunity map with an ROI model, not a vision deck.
Design the agent system
Mono-agent for one clear job; multi-agent with an orchestrator when the task needs specialists. We define tools, data access, memory, guardrails and — critically — where a human stays in the loop.
Build it into your stack
Agents connect to the tools you already use — Slack, Drive, Notion, your CRM, your platform APIs. Model-agnostic architecture, so we swap models as capability and pricing shift without rebuilding.
Operate and improve it
We don't hand over a demo and leave. We monitor, evaluate, control cost, upgrade models and layer new use cases onto the same foundation — under an SLA, with a named team.
03 — What are AI agents
A chatbot answers. An agent finishes the job.
An AI agent is a system that takes a goal, breaks it into steps, uses tools — search, your files, your apps, your APIs — checks its own work, and delivers a finished output. The difference with the AI you know: it doesn't wait for the next prompt.
One specialist, one job
A single agent with a narrow mandate, its own tools and a clear success test. Fast to deploy, easy to trust, immediately measurable.
- Weekly report writer
- Inbox triage & drafting
- Research digest
A team with an orchestrator
An orchestrator decomposes the task, routes work to specialised agents, cross-checks the outputs, and escalates to a human at defined gates.
- Research → analysis → draft → QA pipelines
- Multi-source data operations
- End-to-end back-office processes
Remembers your business
Past work, decisions, tone, preferences and results — recalled across sessions, not reset every conversation.
Trained procedures
Your playbooks encoded as reusable skills: how you write a report, vet a partner, run a process — done your way, every time.
Hands on your stack
Reads and writes in Slack, Drive, Notion, your CRM, platform APIs, databases — it acts where the work already lives.
Acts on schedule & triggers
Crons and event triggers: the Monday report, the morning digest, the anomaly alert — it starts the work, nobody prompts it.
Spawns sub-agents
Big tasks split across specialised sub-agents — research, analysis, drafting, QA — run in parallel and merged back.
Human at the gate
Permissions, approval gates and audit logs. It drafts and flags; a human approves anything that leaves the building.
The rule Agents draft, research, structure and flag. A human approves anything a client or an audience will ever see.
04 — Use cases
Where agents earn their keep.
Prospect research & outreach
Agents qualify leads, compile account briefs and draft personalised first contact — your team starts at the conversation, not the research.
Typical: −80% research time per accountProposal & RFP assembly
Past proposals, case studies and pricing pulled into a tailored first draft that follows the RFP structure — humans refine the argument, not the formatting.
Typical: response time cut in halfSupport triage & drafting
Incoming requests classified, enriched with account context, answered or routed with a suggested reply attached.
Typical: first response in minutes, not hoursOnboarding & follow-up flows
New-client checklists, kickoff docs, status updates and renewal reminders generated and tracked automatically per account.
Typical: zero dropped handoffsReporting autopilot
Recurring internal and client reports assembled from live data, in your house style, on schedule — reviewed by a human, not written by one.
Typical: 6h → 30min per reportMeeting → action pipeline
Transcripts turned into summaries, decisions, owners and deadlines — pushed into your task tool and chased until done.
Typical: no action item lost, everProject status agent
Reads your task boards, chats and docs; flags slippage, blockers and scope drift before the weekly meeting does.
Typical: risks surfaced 1–2 weeks earlierProduction assistant
Briefs, versions, adaptations and metadata generated at volume from a validated master — humans keep the creative decisions.
Typical: 3–4× output at same headcountDocument processing
Invoices, contracts, expense reports and scans extracted, validated against rules and pushed into your systems — anomalies flagged for review.
Typical: −90% manual entryContract review assistant
Incoming contracts checked against your playbook: non-standard clauses, missing terms and risk points highlighted with suggested language.
Typical: first pass in minutesRecruiting screen
Applications parsed and scored against the role, interview summaries structured, scheduling and follow-ups handled end to end.
Typical: −70% time-to-shortlistCompany memory
Every past project, decision, rate and result made searchable in plain language from Slack. Institutional knowledge stops living in people's heads.
Typical: answers in seconds, not "ask Sarah"Watch & digest
Competitors, tenders, regulation or trends monitored continuously; a ranked, sourced digest lands every morning instead of ad-hoc googling.
Typical: 48h earlier signal detectionBoard & investor pack
KPIs pulled from source systems into the monthly pack with commentary drafted for review — the narrative stays yours, the assembly doesn't.
Typical: 2 days → 2 hours per pack05 — Success stories
References, with the numbers attached.
Welovebuzz — a company-wide AI teammate
For MENA's leading social-first media company, we deployed an orchestrated multi-agent system the whole team works with through a single chat interface, with scheduled tasks running on their own.
Dawam — a full agentic operating layer
One orchestrated multi-agent system for this health & longevity group — specialised agent profiles per function, human gates on everything public, clinical data fully isolated.
- Instagram production line: agents draft → human text gate → visuals & reels
- Multi-platform publishing on a weekly cadence
- Paid social daily: scale winners, cut losers, auto-freeze on cost drift
- Weekly & monthly performance dashboards (CAC, funnel, SEO)
- Lead captured → engagement within minutes → nurture → booked appointment
- Escalation to human secretariat on complex cases
- Daily treasury cockpit, invoicing & collections, B2B pipeline
- Compliance check on every creative before publication
Scope figures above; performance metrics under measurement and available as they consolidate.
Arcade Équipement — the CEO's executive agent
A personal AI assistant for the CEO of Morocco's reference in professional kitchen & laundry solutions — one agent, plugged into everything he needs to see.
- Reads the team groups — after-sales, technical, reports — and surfaces what matters
- Daily & weekly reports: full visibility without reading every thread
- Connected to his inbox — triages and drafts replies for his review
- Connected to Sage (ERP) and Drive — answers questions from live company data
Recent implementation — baseline measured, results under evaluation. First numbers available on request as they consolidate.
06 — Where we find leverage
The judgement stays yours. The rest is ours to absorb.
Ordered by simplicity on purpose: we start with agents that need little or no integration and prove value in weeks, and only then go deeper. Easy first, ambitious later — because trust is earned before it is spent.
Recurring reporting
One agent on your platform and analytics APIs drafts the weekly report in your language. Single agent, read-only access, zero change to how anyone works — value visible in week one.
Quick winPitch & market intelligence
Competitor and market audits auto-compiled before every pitch or committee. Needs no access to your systems at all — it works from the open web, so it can start tomorrow.
Quick winSignal & trend radar
Movements, formats, regulation or tenders scored by relevance for your sector, every morning. A monitoring agent that pushes a digest — nothing to integrate beyond where you want to read it.
Quick winCompany memory
Every past project, result and rate searchable in plain language from your chat tool. Builds on your existing drive and messaging — deeper integration, deployed once the quick wins have earned trust.
Phase 2Qualification & vetting pipelines
Discover, qualify, screen and benchmark — partners, suppliers, candidates or creators — into a documented shortlist. Multi-agent with an audit trail: worth doing right, not first.
Phase 2Production & delivery ops
Versions, formats, translations, naming and delivery packs across markets. Touches production workflows — highest payoff, deepest change, so it comes last deliberately.
Phase 3And three proactive tasks we schedule from week one — patterns already running in client systems:
Leadership morning brief
Scans your team channels overnight, surfaces what needs a decision-maker's attention across accounts, lands as one message before the day starts.
Competitor watch
Monitors what competitors and your clients' rivals ship across channels — a flag the moment something shifts.
Anomaly & spike alert
Detects unusual movement on any metric or brand you track — your team hears it from the agent, not from the client.
To validate together These are patterns, not prescriptions. The audit replaces them with your measured reality — and the real list is usually different from the obvious one.
07 — How we work with clients
Small, proven, then scaled.
Baseline before build
We measure the human process before the agent exists. The pilot is judged against your numbers, not our promises.
Kill criteria upfront
Every pilot has agreed conditions under which we stop. No sunk-cost projects, no zombie tools.
Your team, enabled
We train the people who'll use the system daily and document everything. Adoption is designed, not hoped for.
You own it all
Code, prompts, evaluation sets, documentation — yours. We're a partner, not a dependency.
Human at every gate
Nothing client-facing or public ships without human approval. Screening decisions are logged and auditable.
GDPR-aligned posture
GDPR-aligned architecture, EU hosting options, no client data used for model training, DPA from day one.
Model-agnostic
No lock-in to one AI provider. Routing lets us swap models as capability and pricing shift.
08 — Deliverables & timeline
Ninety days, four checkpoints, zero surprises.
Workflow audit & opportunity map
Half-day sessions with the people who do the work. We time and cost the real workflows, then rank every automation candidate.
One agent, live, on one KPI
The top-ranked use case built and deployed on your data, in your tools, with one team. Kill criteria agreed before we start.
Production system & enablement
The pilot hardened, the stack connected, the orchestrator layer added, the team trained. The system becomes part of how you work.
Run, measure, expand
Monitoring, evaluation, cost control and model upgrades under SLA — plus a quarterly roadmap layering new use cases onto the same foundation.
Commercially Audit & pilot at a fixed fee with no further commitment. Build scoped after the audit. Run as a cancellable monthly retainer.
09 — Get in touch
Pick one workflow. Give us six weeks.
If the pilot doesn't beat your baseline, you've lost six weeks and learned exactly where AI does and doesn't fit your business. If it does — you'll know precisely what to scale next.
Book the audit session
Tell us what your team spends its week on. We'll tell you which parts an agent would genuinely take.