AI as a tool
A person prompts, copies and decides what happens next.
Faster individual tasksAI TRANSFORMATION, BUILT INTO THE BUSINESS
Grow the business.Not the overhead.
RECAST designs and deploys AI operating systems around your tools, workflows and business rules—recovering time, creating capacity and protecting margin without growing payroll at the same pace. The result is an operating asset, not another vendor-shaped dependency.
Leave the call with a verbal action plan. Receive a tailored blueprint and roadmap afterward.
RECAST / OPERATING FIELD0160+ transformations02500+ agents deployed03$2.1M in attribution
Your business has outgrown the way it runs.
THE REAL BOTTLENECK
You do not have a tool problem. You have work trapped between tools.
Leads arrive in one place. Context lives somewhere else. Reports are rebuilt by hand. Decisions wait for the person who remembers how everything connects. As the business grows, the founder—or a few indispensable people—becomes the human integration layer.
- 01The same information is copied, checked and explained repeatedly.
- 02High-value people spend time moving work instead of advancing it.
- 03New hires absorb broken processes instead of increasing leverage.
- 04AI helps in moments, but still waits for a human to prompt, paste, review and route.
- 05The operation grows more complicated faster than it grows more capable.
The answer is not another isolated app—or another dependency your team has to work around. It is an operating layer designed around how the business should work.
Illustrative operating map01Leads02Inbox03Reporting04Client operations05Calendar06Knowledge
Follow one unit of work. Find where the business loses time.
Before a model enters the conversation, we trace real work from arrival to completion: where it waits, how much paid attention it absorbs, what gets rebuilt, which decisions require judgment and what proves the work is done.
01Volume02Elapsed time03Human touches04Rework05Commercial consequence
Every step is classified
01Remove02Encode03Assist04Keep human
We do not automate the founder. We encode the repeatable route and preserve the decisions that still deserve their attention.
The advantage is not having AI tools. It is redesigning the business so AI can do the work.
Most companies are still using AI one conversation at a time. AI-first businesses connect it to the systems where work already happens—giving it context, rules, permissions, memory and a measurable job to complete.
AI as automation
A fixed trigger moves information between a few steps.
Faster repeatable sequencesAI as an operating layer
Context-aware agents coordinate tools, workflows and approvals.
More business capacity and faster feedback loopsBusinesses operationalizing AI now are compounding process knowledge and capacity inside systems they can carry forward, while the rest of the market is still accumulating subscriptions and vendor dependencies.
Hire for judgment. Stop hiring around broken workflows.
A valuable hire adds ownership, relationships and judgment. But when a role exists mainly to chase inputs, copy information, rebuild context and escalate the same exceptions, the business is hiring around a process that still needs to be redesigned.
- 01More volume
- 02More handoffs
- 03Exceptions return to the founder
- 04Coordination hire
- 05Temporary relief
- 06The same process at greater scale
Break the loopRedesign the route before repeating the role.
People should own
Judgment · Relationships · Exceptions · Growth
The system should carry
Context · Routing · Reconciliation · Records
The 30 / 30 / 30 risk
If a role takes 30 days to find, 30 days to onboard and 30 more to reach expected performance, a quarter disappears before capacity arrives. If that person leaves, the loop begins again.
Build the operating asset once
A bounded agent workflow can be mapped, built and proven once, then improved as a documented operating asset instead of repeatedly funding the same coordination through payroll.
Payroll leverage
More throughput before payroll or overhead has to rise at the same rate.
Time recovered
Recurring execution stops consuming founder and team hours.
Revenue capacity
Take on more work without equal coordination load.
Higher-value work
People focus on judgment and relationships.
Owned operating asset
Rules, records and operating memory remain documented beyond a single hire or vendor.
Illustrative planning model—not a universal hiring or delivery benchmark. Some constraints need people. The audit uses your baseline to test time returned, payroll growth avoided or team time redeployed, margin potential and revenue capacity.
SYSTEM POSITION / 01
Providers can change. Your operating model should survive the change.
Models, tools and vendors
ChatGPT / OpenAIClaude / Anthropic
The operating asset RECAST builds
01Context02Permissions03Workflow04Human approval05Action06Record
DOCUMENTED TECHNOLOGY / 02
Built across the systems where work already happens—without making any one of them the operating model.
These technologies supply capabilities inside published RECAST systems. The business-specific workflow, permissions and records sit in the operating layer. Counts show case records, not partnerships or universal deployment state.
25published case records
Models and intelligence
OpenAI / Codex03 / 25 published case recordsAnthropic / Claude02 / 25 published case recordsOpenRouter03 / 25 published case records
Business systems
Google Workspace09 / 25 published case recordsSlack09 / 25 published case recordsDiscord19 / 25 published case recordsTelegram02 / 25 published case recordsQuickBooks Online02 / 25 published case recordsCalendly03 / 25 published case recordsGoHighLevel02 / 25 published case recordsJobAdder01 / 25 published case records
Execution infrastructure
ElevenLabs03 / 25 published case recordsTelnyx01 / 25 published case recordsCloudflare01 / 25 published case recordsCaddy08 / 25 published case recordsZapier01 / 25 published case recordsApify06 / 25 published case records
Provider-ready in published architecture
ShopifyMeta AdsTrack123
Third-party marks are the property of their respective owners. Their appearance identifies documented or scope-available technology and does not imply sponsorship, affiliation or endorsement.
Built around the operation. Proven in the work.
RECAST documents what is live, what is supervised and what still depends on a provider or client action. Each case separates the business-specific operating layer from rented capabilities instead of turning a staged demonstration into a production claim.
01 / 06Verified live
Haroon KamalLinda's Care
A voice-led response system calls eligible leads, follows Linda's Care's qualification logic, retries safely, records outcomes in GoHighLevel and transfers qualified conversations to a human closer.
Evidence receiptProduction voice bridge verified live. Client reported an $800 deal in the first week.
ElevenLabs Conversational AITelnyxGoHighLevelNode.js
View the system
02 / 06Verified live
JamesLEED Agency
A persistent reporting assistant retrieves LEED-specific context, inspects the relevant source material, completes longer analyses and saves useful findings back into working memory.
Evidence receiptVerified live in active agency reporting workflows.
Client quote“It’s changed my life literally.”
OpenClawDiscordTelegramCodex
View the system
03 / 06Verified live
Bryant WardScaling Webinars
A governed multi-agent command center routes work across eight departmental agents, shared memory, client data and visible dashboards while retaining approval gates for consequential actions.
Evidence receipt8 agents · 35 bindings · 29 active sessions verified.
OpenClawDiscordSlackGoHighLevel
View the system04 / 06Verified live
Joshua AjayiPayDai · RUBN · MDRN · AST · DETOK
A stabilized multi-venture command layer separates the JoshuaAI and RUBN environments, routes authorized people and channels explicitly, and keeps venture knowledge available behind one operational surface.
Evidence receipt135 mapped channels · 16 allowlisted users · 94 active sessions · 2 active Discord accounts.
OpenClawDiscordCodexmemory-core
View the system05 / 06Live, human-supervised
Saadi SabahPlutify Bookkeeping
A white-labelled, tenant-isolated portal reads live QuickBooks data, presents standardized financial views, supports CFO-style questions and keeps every write or send behind explicit approval gates.
Evidence receiptRead-only QuickBooks access proven in an operating context of around 40 monthly clients; writes and sends remain approval-gated.
QuickBooks OnlinePythonReactVite
View the system06 / 06Live, human-supervised
Jane BenjaminCare Networks
A recruitment operations assistant uses authoritative JobAdder helpers and separated account routes for research, email, scheduling and record work, while a clinic voice pilot remains gated until its launch inputs are approved.
Evidence receiptRecruitment operations live; the voice pathway remains separately gated.
Client quote“It’s brilliant. Like a game changer.”
OpenClawJobAdderDiscordGmail
View the systemA working system—not a disappearing act.
Transformation fails when ambition outruns clarity. RECAST moves from operational truth to a prioritized build, then into real use with visible decisions, documented ownership, explicit provider boundaries and a handoff your team understands.
01 · Audit
Map bottlenecks and establish the current baseline: volume, elapsed time, human touches, rework, operating cost and commercial consequence.
Verbal plan + written blueprint and roadmap
02 · Architecture
Define scope, workflows, permissions, ownership, provider dependencies, the value hypothesis, success measures and what remains human.
Approved system map, dependency register and implementation plan
03 · Build
Configure the operating layer, agents, integrations, memory and safeguards.
Visible progress, demonstrations and decision log
04 · Prove
Run real tasks end to end and compare completion, elapsed time, human intervention and rework against the baseline.
Evidence, corrections and readiness status
05 · Deploy
Move into daily operation with onboarding, documentation, a dependency register and agreed ownership boundaries.
Running system, access map, training and runbook
06 · Compound
Extend value only after the first workflow proves it—through monitoring, iteration and the next high-leverage route, while preserving the handoff and ownership model.
System health, improvements and prioritized expansion
Some decisions should remain human. We design the approval points instead of pretending they do not exist.
The transformation has a shape. The scope is built around the business.
Every engagement starts with the operation, not a template. Claw gives RECAST a proven deployment foundation; the audit determines the workflows, integrations, controls and implementation depth required.
Claw Pro
A focused AI operating layer for a founder or business unit ready to transform the highest-leverage workflows first.
Core operations · sales and CRM · research · content assistance · reporting · standard integrationsClaw Elite
A broader, deeper operating layer for established businesses coordinating more functions, systems, permissions and custom workflows.
Advanced operations · finance-sensitive work · multi-brand or multi-team environments · custom workflows · deeper integrationsCustom Transformation
A scoped engagement for larger operations, unusual infrastructure, compliance requirements or transformation spanning multiple business functions.
Your business should own the operating logic—not depend on another black box.
Model- and vendor-flexible
Models, APIs and providers remain identifiable components, so one can change without forcing the business workflow to start again.
Controlled autonomy
Routine work can move quickly; spending, publishing, finance and other consequential actions can remain behind approval.
Ownership by design
Contracted deliverables, accounts, access, documentation and handoff are defined around your environment and the signed scope.
Visible operating logic
Agent roles, escalation rules, completion records and external dependencies are documented so your team can understand what runs and what it relies on.
Built for your operation. Deployed into your environment. Documented for your team. Contracted ownership follows the signed scope; third-party platforms and licenses remain theirs.
Engineered by operators. Accountable to people.
RECAST was founded by Zuheir Daher, an Industrial Engineer specialized in systems engineering. After a decade in technology and years working directly with AI, he built RECAST around a practical conviction: transformation only matters when the system works inside the operation.
Zuheir leads strategy and architecture with a core team spanning growth, development, implementation and client success. The people shown here hold direct responsibility for making the system useful, adopted and real.
Zuheir Daher — Founder & CEO
Yannick — Head of Growth
Daniel Derzic — Head of Development
Manzar — Lead Developer
Yehia Al Hussein — Head of Client Success
FREE AI AUDIT
Find the work your business should stop carrying manually.
We map the bottlenecks, hours consumed, payroll pressure and provider dependencies—then identify the first workflow where a controlled AI operating layer can create measurable capacity.
- A live baseline of volume, elapsed time, human effort, handoffs and the commercial cost of delay.
- A verbal plan ranked by value, feasibility, risk and time-to-proof.
- Clear recommendations on what to automate, assist, keep human and keep adaptable across providers.
- A written blueprint with the baseline, value hypothesis, evidence plan and roadmap within two business days.
Best for founders and business owners with an active operation, real revenue and a serious intention to implement—not collect another list of tools.
A useful plan, whether or not we work together.
Most focused implementation engagements begin at $5,000 or the applicable market equivalent; German/DACH engagements begin at €5,000. Scope is judged against your economics: time returned, capacity created, payroll growth avoided or team time redeployed, margin potential and operating knowledge retained.
Choose a time for your free AI audit
Select a time below. We will use the call to map the constraint and identify the most valuable place to begin.